The year 2017 witnessed a total of $112.8M in the analytics startup funding pool. With the overall startup funding seeing a slump in investment for the Indian scenario, key investors have focused on diversifying their investment portfolio in various business areas and industries apart from data analytics. However, there were a few, that were focused on boosting the Indian analytics space.

Here are the top 10 investors who have invested significantly in Indian startups in the year 2017. These are based on the amount of investment that the funds did last year.

1. Singtel Innov8

Investment : Qubole

Singtel Innov8, part of of the Singtel group, is a venture capital firm that operates out of Singapore. It also serves enterprise clients with offices in San Francisco, USA and Tel Aviv, Israel. It is involved in business areas such as internet applications and digital media. It mainly backs companies which provide innovative solutions in communications and technology. Qubole, an analytics startup gets $25M in a joint investment with Harmony Partners.

Its portfolio include Vuclip, Jasper Wireless, Airspace Systems, Zeotap, Moogsoft and many more creative tech-startups.

2. Harmony Partners

Investment : Qubole

Harmony Partners is a boutique venture capital firm based out of USA with offices in New York City and San Francisco. It mainly invests in technology, life sciences, and consumer businesses. Until 2017, it has invested over more than $750M in 80 companies. The firm has a rigid focus on investments in technological innovations. It funded Qubole jointly with Singtel Innov8 for a deal of $25M in November, 2017.

Its portfolio include a large number of domestic investees such as Swiggy, Spotify, Illumio, Zerto, Natera and many more.

3. Eight Roads Ventures

Investment : Unbxd

Eight Roads Ventures is a venture capital firm headquartered in London, UK with offices in India, China and Japan. It is a subsidiary of Fidelity International Limited. It specialises in providing principal investments and in real estates. In June 2017, it raised $12.5M in a series C funding for Unbxd, a Bengaluru-based cloud technology startup. Existing investors, IDG Ventures and Inventus Capital also participated in the funding round.

Its portfolio include Colt, DeltaHeath, Medvivo, CiplaHealth, Credr, Bankbazaar.com and many more.

4. DAH Beteiligungs GmbH

Investment : Flytxt

DAH Beteiligungs GmbH is a holding investment company which operated out of Mannheim, Germany. It is a subsidiary of the Service Innovation Group GmbH which provides business process outsourcing services for sales and marketing departments in many organisations. It offers sales consulting solutions such as Corporate and IT strategies. It mainly serves consumer electronics and other related sectors. Flytxt, a customer data analytics startup which started its operations in India by partnering with IIT Delhi, was funded by DAH Beteiligungs GmbH in April for $11M.

Its portfolio comprises of the software giant SAP and their subsidiaries.

5. Omidyar Network

Investment : i2e1

Omidyar Network is an investment firm based out of USA that specialises in providing funds for both profit and non-profit organisations. Their key sectors of investment are education, emerging technology, financial inclusion, governance & citizenship engagement and property rights. Recently, in November, it financed Wifi analytics startup i2e1 for $3M in a Series A funding round.  

Its portfolio include Indian School of Business, Akshara Foundation, 1MG, Healthkart, Change.org and many government service oriented organisations.

6. Vertex Ventures

Investment : Active.ai

Vertex Ventures is an investment firm headquartered in Palo Alto, USA which has primary operations in USA, South Asia and Israel. The firm makes investments in enterprise and cloud-platform companies. Their focus areas are mobile technology, enabling technology and SaaS. Active.ai, chatbot-oriented analytics startup raised $8.25M by Venture Ventures in collaboration with Creditease holdings and Dream Incubator.

Its portfolio consists of online partners such as Yatra.com, Housejoy, Firstcry.com and 17 Media.

7 . Creditease Holdings

Investment : Active.ai

Creditease Holdings is a FinTech company from China, which offers wealth management services. Its primary investment interests are in sectors such as insurance technology, blockchain and similar business horizons. It also provides loan-advisory services to people. Active.ai was funded by Creditease jointly with Vertex Ventures and Dream Incubators for $8.25M.   

Its portfolio include Fintech companies such as Circle, Tradeshift and Marqeta.

8. Sistema Asia Fund

Investment : Mobikon

Sistema Asia Fund is a venture capital arm of Russian investment conglomerate, Sistema for financial operations in South Asia. The subsidiary is headquartered in Singapore. The target companies for investment include high-profile tech companies which are in mid-development stage — Series B and later funding rounds. Mobikon, an analytics startup which provides marketing automation assistance for restaurants, was funded by Sistema Asia Fund, Qualgro and C31 Ventures in a three-member joint funding with Sistema leading the funding round.

Its portfolio includes enterprise and cloud-platforms such as Seclore, Qwikcilver, Wooplr and Licious.

9. General Catalyst

Investment : Julia Computing

General Catalyst is a private equity venture capital firm that funds early-stage investments. It is headquartered at Cambridge, USA with offices in Palo Alto,USA and New York City, USA. Their specific areas of investment interests are advanced materials, clean energy solutions, cybersecurity, mobile computing and related technologies. Julia Computing, an analytics startup specialising in developing Julia programming language, and services based on the language, got a joint seed funding of $4.6M from General Catalyst and Founder Collective with the former leading the round.

Their portfolio includes major companies such as Airbnb, Snap and HubSpot.

10. Kalaari Capital

Investment : EdGE Networks

Kalaari Capital is an Indian venture capital firm based in Bengaluru. It provides mid-stage and late venture fundings typically Series A and Series B funding in the finance sector. The target sectors for funding is usually tech-savvy companies that assist finance firms such as e-commerce, retail and telecom services. EdGE Networks, a Bengaluru-based human resource analytics startup was financed by Kalaari Capital for $4.5M in a Series A round, with Ventureast joining the funding.

Its portfolio include big players such as Snapdeal, Urban Ladder, ScoopWhoop, Bluestone.com and Zivame.

The post Top 10 Investors In Indian Analytics Sector For 2017 appeared first on Analytics India Magazine.

Analytics is permeating our lives in larger ways than we can think. With most companies turning to data companies, the demand for tools and resources that can make sense of the piling data has increased many folds. Hence enter our innovative startups, that are gracing various sections of industry, be it agritech, supply chain, manufacturing and others, offering analytics and enterprise AI based solutions, to meet their needs.

Listing 10 such emerging analytics startups in India, we bring a comprehensive list of startups that are offering exceptional solutions to the data driven organisations. It presents a detailed picture of the startups in terms of its founding team, solutions they offer, growth story, employee strength, funding and others. Here’s the list in alphabetical order.

Read our last year’s list here.

1. Analytic edge, Founded 2012

The team: Founded by Santosh Nair, Vijay Ramaswamy and Rahul Budhraja. With 75+ years combined experience in marketing analytics and consulting, they have worked with companies across the globe in multiple verticals.

Funding: They have not yet sought funding but plan to do so for growth capital.

The company and its analytics solutions: It provides technology-enabled analytics solutions in marketing & sales effectiveness, integrating technology, industry knowledge and machine learning analytics to deliver actionable, scalable, cost-efficient and real-time marketing insights.

Their key analytics solutions are marketing mix modelling, digital attribution, pricing & promotion strategy, sales forecasting and customer loyalty analytics.

Employee strength: 40

The differentiation factor: Their key differentiator lies in the fact that they offer “technology-enabled” analytics solutions that are not “black boxes”. They have developed an end-to-end, cloud-based platform that clients can leverage for all the phases of a marketing mix modelling project. The platform coupled with automated data ingestion enables the clients to continuously measure the effectiveness of their marketing activities and provides insights that are real-time and actionable. It also allows them to scale the analytics, cost-efficiently.

The growth story: They have grown rapidly over the last couple years on the strength of their marketing analytics products. Today, they support several Fortune 500 clients globally with marketing analytics.

2. CropIn, Founded 2010

The team: Founded by Krishna Kumar (CEO), Kunal Prasad (COO), Chittaranjan Jena (CTO). The founders have years of experience in the technology and management arena, and have had illustrious career in the corporate world.

Funding: CropIn has raised a funding of 4 million USD till date. Their institutional investment partners are BEENEXT, Ankur Capital, BSP Fund LLC.

The company and its analytics solutions: Cropin is a leading agri-tech company based in Bangalore that provides SaaS based services to agribusinesses globally. The idea of founding it came to Krishna Kumar after observing the agrarian crisis in the rural areas of Karnataka in 2010. As the farmers were dealing with non availability of finance, climatic vagaries, pest infestation and diseases, he took a resolution on doing his bit to prevent farmers’ misery. Thus came Cropin that enables its clients to analyse & interpret data and derive real time actionable insights on standing crop and projects spanning geographies, by harnessing cutting edge technologies like big data analytics, artificial intelligence, geo-tagging and satellite monitoring.

It offers solutions such as:

• SmartFarm, a flexible farm management solution enabling complete digitisation of farms and empowering data-driven decision-making.
• SmartRisk, an agri-business intelligence solution leveraging agri-alternate data and providing risk mitigation and forecasting for effective credit risk assessment, using proprietary machine learning algorithms.
• Mwarehouse, a comprehensive solution providing Farm to fork traceability & compliance, quality control and flexible inventory management.
• SmartSales, a comprehensive CRM & input channel management solution.
• AcreSquare, a unique farmer application that helps companies interact directly with their farmers, share content, educate them and provide consultation.

Employee strength: 90+

The differentiator factor: Some of the key features of Cropin’s solutions are AI and ML based proprietary algorithms, satellite monitoring, weather analytics for agri tech industry. It ensures 100% data security, complete traceability from farm to fork, risk mitigation, sales prediction and improvement, amongst others.  

The growth story: CropIn has so far digitised over 3 million acres of farmland, enriching the lives of 10,00,000 + farmers while working with 135+ clients. Its global clientele includes McCain, Syngenta, Ned Coffee, Mahindra, Mars, IDH, Marico, Tata, Godfrey Phillips, McCain, IFB Agro, ITC, ICICI Lombard, BigBasket, Welspun, World Bank and many more.The company has had a year-on-year revenue growth of 2x and crossing 3X growth this year.

3. GyanData, Founded 2011

The team: Founded by Prof. Shankar Narasimhan, Prof. Rengaswamy and Prof. Venkat Venkatasubramanian. They are experienced academicians from Indian Institute of Technology, Madras and Columbia University, who bring in a wealth of domain expertise and knowledge.

Funding: They have been bootstrapped till now with seed funding from founders, and are now reaching out to investors who can propel the business and help take it through the growth phase.

The company and its analytics solutions: With a mission to empower the business ecosystem of clients with value-added services using data analytics, they have worked in both continuous and discrete manufacturing domains offering a wide range of enterprise applications right from conceptualisation of an idea to offering a fully developed product. Their portfolio includes projects for the defence, pharma, chemical, finance, healthcare, sea navigation and CRM domains and was started with a vision to translate the founders’ experience in R&D and industrial consultancy in areas such as machine learning, artificial intelligence, first-principles modelling, fault diagnosis and process analytics to manufacturing practice.

Their key offerings are in manufacturing analytics (data pre-processing, predictive and prescriptive analytics, modelling and real time optimisation, preventive maintenance, smart manufacturing, IoT), supply chain solutions, text analytics, CRM analytics, financial analytics, image processing, healthcare analytics

Employee strength: 30

The differentiator factor: They use domain agnostic algorithms that can be deployed across multiple domains. Other differentiating factors are ability to work with manufacturing (dirty) data, use of open source tools and platforms that offer their clients cost advantage, a rich pool of highly talented resources drawn primarily from premier institutes, amongst others.

The growth story: As a start-up, they believe that they are moving from a solutions development and consolidation phase to a period of peak growth. Some of their clients include BHEL, BPCL, DRDO, Honeywell, Tata Steel, Dr.Reddy’s Lab, Mitsubishi Electric, Hinduja Tech, Pfizer etc.

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4. IQLECT, Founded 2012

The team: Founded by Sachin Sinha. He is also the author of BangDB – a key-store NoSQL DB. Prior to IQLECT Sachin has worked as CTO of Jabong, Co-founder & CTO of Limeroad and in engineering leadership roles at Microsoft and Amazon.

Funding: IQLECT has raised $3M in Seed funding round led by Exfinity Ventures.

The company and its analytics solutions: IQLECT provides platform for real-time big data analytics. In addition, there is an app store with ready-made solutions that can be deployed on the platform. With a focus on real-time and predictive analytics, the offering from IQLECT can be availed through SaaS or On-premises.

While working for the large corporations & startups alike, Sinha noticed that data volumes were increasing rapidly. In addition to that, the analysis of data is always done in isolation in terms of business operation. Each team used different tools for data extraction & analysis. This siloed approach of analysing data means that correlation of insights across departments and teams were always a major challenge. Not to forget, the data analysis process and collection of insights were done long after actionable opportunities were over. This gave birth to IQLECT, where the IQLECT platform can collect data from any different source and analyse them at one place in real-time.

Key analytics solutions offered by IQLECT can be categorised in three buckets.

• Clickstream/ E-commerce/ Web-analytics solutions
• Log parsing & analytics solutions
• Device/ Sensors/ application monitoring & analytics solutions

Employee strength: 15

The differentiator factor: They have following differentiators compared to the current market solutions: truly real time, avoids and breaks silos giving much lower latency and higher throughput, accelerated time to market, integrated ML and AI framework, cost optimisation and others.

The growth story: IQLECT offers its platform and solutions through two channels – SaaS & Enterprise. The SaaS growth has been at 20% MoM, and some its clients on the enterprise front include Accenture, CISCO, SAP and a few notable data centers.

5. Lymbyc, Founded 2012

The team: Founded by Satyakam Mohanty and Ashish Rishi. Mohanty aka Chief Light Bulb is a market researcher at heart. He is a MICA graduate who chooses to view the entire insights spectrum through a technology lens. Ashish Rishi aka The Touchstone has a craving for technology that is insatiable. With analytics journey across GE and HSBC, he is also a MICA graduate who is constantly striving to make all these ideas come alive.

Funding: Lymbyc has been bootstrapped from the beginning, with initial investments from the founding team. They are looking to raise growth capital soon to take Lymbyc to the rest of the world, starting with North America.

The company and its analytics solutions: Previously known as Ma Foi Analytics, the company was founded to build robust analytical products that melded advanced technology to strong data science foundations. It was conceptualised with a vision to empower business leaders at the point of decision making and to elevate analytics from just being a validation resource to an intervention mechanism with foresight. It is headquartered in Bangalore with clients across India, US, Singapore and in the Middle East.

It provides business leader an ultimate 24*7 available virtual data scientist—system that can take in queries in natural language and provide insightful answers at the point of decision making. Lymbyc aims to become the JARVIS (remember Ironman?) to the modern enterprise.

Their virtual data scientist is called Lymbyc, which is a license based product and the first two use cases lie in marketing research/ consumer insights and pharma & life sciences marketing. They are looking to add additional use cases this year, focused within sales, marketing and commercial functions.

Employee strength: 52

The differentiator factor: Lymbyc is world’s first integrated expert system, and have invented and patent applied for MIRA (Machine Intelligence for Research & Analytics), their own querying language, which enables to not only tag and identify the contextually relevant data items but also trigger the appropriate set of actions to convert them into insights in the same step. The startup believes that this is a generation ahead of any such solution world-wide.

The growth story: Lymbyc has grown from pillar to pillar in the last six years. They have been able to divert their profits towards product development and still maintain profitability. They have a 73%+ CAGR in revenue since inception, and their major clients are from Fortune 100 spanning industries across consumer technology, healthcare, pharma & e-commerce.

6. Razorthink, Founded 2015

The team: Gary Oliver (Chairman & CEO), Dr. Nandu Nandakumar (CTO), Murali Mahalingam (Chief Strategy Officer), Tom Drotleff (CFO), Harsha Nutalapati (GM India, SVP of Service & Support), Barbara Reichert (VP Marketing), Rupesh Rao (Head of Customer Success). They are passionate leaders with decades of experience in advanced enterprise analytics.

Funding: Razorthink is funded by individual angel investors. They did not disclose the amount of funding or investors.

The company and its analytics solutions: Razorthink Inc. is an Enterprise AI Systems company that powers organisations with deep learning intelligent systems. Razorthink BigBrain, a rapid AI system development platform, empowers AI teams to create purpose-built intelligent systems that solve complex business problems. It enables them to accelerate the creation of AI solutions through BigBrain’s unique combination of data science automation, dynamic learning models, deployment automation and built-in optimisation for high performance computing. Customer predictions, recommendations, intelligent process automation, fraud detection, risk management and AI-assisted customer service, are some areas it can be deployed.

The company believes that businesses in almost every industry find themselves at the risk of digital disruption. As organisations are re-thinking business strategies and looking to strengthen their competitive advantage, AI driven insights, decisions and processes have become more prominent. By applying AI to data science, the Razorthink BigBrain platform powers enterprises with Expert AIs that drive superior decisions, highly efficient processes and ideal outcomes.

Expert AIs are specifically formulated and continually optimised to solve business problems that contain complex data analysis. Expert AIs use the combined power of data science automation, machine learning, deep neural networks, anecdotal learning, automated feature recognition, embedded domain expertise and high performance computing to:

• Uncover insights never before possible
• Help businesses avoid blind spots
• Recommend actions that alter outcomes
• Dramatically increase efficiencies

Employee strength: 100 (across United States and India)

The differentiator factor: At Razorthink, they offer more than just a technology platform, as they have the expertise to help organisations solve business problems by applying AI to specific areas and processes within the organisation to impact outcomes. Unlike simple AI data modelling tools, Razorthink BigBrain supports the entire AI solution lifecycle, including data preparation, model building, model deployment and continuous optimisation. BigBrain also accelerates data modelling through a unique visual drag and drop model builder.

The growth story: When the team announced the Razorthink BigBrain platform on October 16, 2017, it was the first Deep Learning Data Science Automation Platform. Their customers include large banks, insurance companies and other financial services firms as well as telecoms in the U.S. and India.

7. The Math company, Founded 2016

The team: Founded by Sayandeb Banerjee, Aditya Kumbakonam and Anuj Krishna. With decades of analytical experience to deploy complex data driven solutions, they have built and scaled teams for Fortune 500 organisations across 10+ industries. During this journey, they have designed strong data science strategies, played lead roles in establishing successful hiring practices and training programs for over 3,000 data scientists.

Funding: They are currently a fully bootstrapped organisation.  

The company and its analytics solutions: TheMathCompany is in the business of transforming organisations and ensuring viable growth journeys that result in true measurable impact. They are dedicated to enable the way organisations define and execute their analytics strategy. Accounting for different maturity levels, they focus on building capability and providing execution support for clients by having adaptive engagement models.

With the growing demand for data driven decision making, organisations are starting to realise the value in establishing their own analytics capabilities. The co-founders realised there was a gap in the market in enabling companies to embark on this journey. Although there are some service providers that aid in components of the journey, no one was providing an end-to-end partnership to these enterprises. TheMathCompany was founded to help bridge this unfulfilled gap.

They engage in deep partnerships with customers to design the long-term analytics strategy as well as implement this mandate. They are dedicated to solve the most challenging problems end-to-end by leveraging years of domain expertise, design thinking, statistics, machine learning and visualisations. Throughout this process, the focus is on creating Centre of Excellence(s) to make these organisations self-sufficient in analytics.

Employee strength: 50+

The differentiator factor: Currently, there are multiple service providers, consultants and platform-based enablers in the market. However, TheMathCompany is not just another analytics service provider, as they take pride in being the only organisation to provide all these services end-to-end, addressing the analytical needs of enterprises holistically.

The growth story: In their short journey, they have seen a steady growth both in terms of revenue and clientele. We have been fortunate to work with 15+ Fortune 500 clients across 4 continents. This includes one of the top 3 retailers in the world, the world’s largest alcoholic beverages company and one of the largest insurance providers in the US and Australia.

8. Tredence, Founded 2012

The team: Founded by Shub Bhowmick (CEO), Sumit Mehra (CTO), and Shashank Kumar Dubey (Head of Analytics).  

Funding: Tredence has been bootstrapped by the founders and generates enough cash that is invested back in the business. They have not accepted any external investments yet.

The company and its analytics solutions: Headquartered in San Jose (CA), they have delivery centre in Bangalore. It is an analytics services and solutions company delivering competitive advantages via data insights to leading Fortune 500 companies. Their capabilities range across data management, data visualisation, advanced analytics, big data set up, and machine learning. The company has global presence across 9 locations including US, Canada, Australia and India, serving clients across industries.

Tredence provides white-box, analytics driven technology solutions, designed to empower frontline managers to make informed business decisions. They specialise across all key areas of the data analytics spectrum: data engineering & management, data science, and data visualisation. These full stack solutions are built on the power of AI and ML algorithms – in combination with a variety of big data technologies – making it simple, smart, and visual to use.

Employee strength: 235+

The differentiator factor: They have been recognised by some of their clients as the most indispensable analytics partner, as they leverage well-oiled ecosystem of consulting, technology, advanced analytics and visualisation to build customised solutions for clients. These are designed to enable clients consume insights at scale, with the least amount of manual intervention. They ensure smooth implementation and adoption of the solution across the decision value chain, helping clients measure business impact and drive pervasiveness.

The growth story: With their own share of troubles, once they hit the acceleration pace, there has been no looking back. They have grown in revenue a 100% YOY, and have over 25 clients spread across industries.

9. 3LOQ, Founded 2012

The team: Founded by Anirudh Shah and Sunil Motaparti. While both have a degree from Carnegie Mellon, Shah has worked extensively with machine learning and NLP for over a decade and Motaparti is analytical with a keen interest in marketing and advertising and builds technology to make messaging more relevant and engaging.

Funding: 3LOQ is funded by Bitkemy Ventures, a Hyderabad-based tech incubator-cum-seed fund that was setup by Sunil Motaparti in 2012. It is planning to raise a new round of funding in 2018.

The company and its analytics solutions: The company is building machine learning algorithms to increase customer engagement and reduce attrition. 3LOQ leverages consumer psychology and big data to create unique personalised interfaces that enable habit formation amongst target consumers. Currently it is focused on implementing Habitual AI solutions to solve challenges in the financial sector.

3LOQ started out by enabling companies to crunch billions of customer transactions to extract revenue-related business intelligence. They honed machine learning algorithms to reduce attrition through habit formation, leveraging consumer psychology and data wizardry. They’ve used Habitual AI to automatically and securely personalise financial customer communication like never before in:

• Digital banking, accelerating adoption of digital services like net banking.
• Primary banking, recommending banking products that are most likely to result in customers choosing a particular financial institution as their primary bank.
• Card/Payments, finding and recommending merchants and categories that a customer is most likely to buy from using a bank’s credit card.

Employee strength: 15

The differentiator factor: Its Habitual AI is a platform that enables banks to learn their customers, suggest personalised feature recommendations and lead them towards building a habit of using a product more frequently. The robust, universal platform handles structured and unstructured data ingestion from any source, at several TBs per day. It runs on commodity hardware and lives up to its enterprise-grade stamp with built-in fault tolerance, high availability, and horizontal scalability.

The growth story: After working for clients across a wide gamut of sectors like telecom, retail and e-commerce for 3 years, 3LOQ saw an opportunity in the banking and finance sector. They’re currently focusing on this sector and HDFC is one of their major clients in India. They also started projects with other Indian banks and their goal is to onboard at least 5 major Indian banks in 2018.

10. Turing Analytics, Founded 2015

The team: Founded by Aditya Patadia and Divyesh Patel. With MBA and relevant industry experience, they were passionate about indigenously developing machine learning based business solutions.

Funding: Turing Analytics had raised seed funding from Private Investors in July 2016.

The company and its analytics solutions: Inspired by Alan Turing, the father of AI, Turing Analytics is driven by a vision to develop solutions powered by machine learning to help businesses make data driven decisions. They deliver visual search & recommendation solutions to both online and offline retailers, helping them improve product discovery, customer engagement and boost conversion rates.

The founders back in 2015 were convinced that machine learning is the technology of future and decides to create products that could solve business problems using ML. They identified that Indian ecommerce websites were not able to unlock full potential  of customer reviews as off-the-shelf NLP engines were not good enough in Indian context. Hence they created a NLP engine that worked for Indian English as well as Hinglish. This innovation was used to create “Customer Review Analytics System”.

Their key analytics solutions are:

• Visual search that enables users to search items using photos! It can identify the right items being searched without cropping or category selection.
• Similar product recommendation, suggesting similar looking items from a catalog.
• Fashion trend recognition, where they have developed a neural network based AI system which can identify what is trending among customers and suggest which products should be pushed.      
• Image recognition and tagging, where they train customised image recognition models as per client requirements.
• Customer review analytics, which is a product to classify online customer reviews into actionable set of buckets e.g. packaging, shipping, product quality, price etc.

Employee strength: 7 and hiring for expansion to overseas markets.

The differentiator factor: They can utilise all types of data (text, image, video etc.) for training neural networks and hence, there is no industry or sector limitation to their products. They can work for fashion or home furnishing with equal efficiency as for medical images and patent search.

The growth story: Two months after the inception they got their first & oldest running client Shopclues.com for “Customer Review analytics”. Since then, they have ventured into visual search and product recommendations solutions, garnering clients not just from India but abroad. Some of them are TATA Group, Kimberley Clark, Future group C&D Labs.

The post 10 Emerging Analytics Startups In India To Watch Out for in 2018 appeared first on Analytics India Magazine.

Analytics in Indian business scenario has grabbed higher popularity, thanks to the growing importance on driving decisions based on data. Data and analytics is playing a key role in delivering business values, which is relatively new, but an exciting space to explore. At the helm of making analytics a part of various organisations are the leaders who are working tirelessly to make analytics and data driven decisions as seamless as possible.

Analytics India Magazine recognises 10 such influential leaders that are constantly bringing newer paradigms in the areas of analytics, artificial intelligence, machine learning, big data, across varied domains.

The list is the work of over 2 months where we invited nominations from various leading organisations in India. This list is finalised primarily based on the criteria of the impact that the leader made to analytics ecosystem in India, in last 1 year. Also, uniform representation of various domains, industries etc is taken into account.

Here is the list of Top 10 Influencers in the Indian Analytics Industry, presented in alphabetical order.

Here’s the list from last year.

Ashutosh (Ash) Misra

Director of Advanced Analytics and Big Data, Philips Lighting

Currently based out of Philips Lighting Bangalore office in India, his current work as the Director of Advanced Analytics and Big Data revolves around machine learning algorithms, AI, intelligent BOTS and complex algorithms to find solution to enterprise problems. He and his team are involved globally on supply chain, sales and marketing, and finance related advanced analytics.

With more than 26 years of research and IT experience, he has worked with a large IT company for 17+ years and has handled several responsibilities in the insurance and financial services IT, including advanced analytics, big data, application development, project and program management, IT architecture consulting, Global Delivery Management, client partner role and P&L responsibilities. He has also been advisor to various fortune 500 customers on data and analytics consulting projects and has successfully delivered large programs, as a part of his previous role.

He holds a Doctorate in Physics from Indian Institute of Technology Kanpur, Kanpur India.

Atul Jalan

Founder & CEO, Manthan

A highly accomplished entrepreneur, technology visionary and fervent speaker, Atul Jalan is the founder and CEO at Manthan which is his fourth venture after MicroTrack, Cybertrek and Net Kraft. It is very unlikely that you would find him not working on something new, and his secret sauce is imagination coupled with the ability to crank, accelerate and build momentum.

As the CEO of Manthan, his single objective is to keep the spirit of invention and innovation alive at Manthan. He is also the brain behind ‘Maya’, the world’s first AI-powered conversational agent for business analytics. Powered by Artificial Intelligence, Maya makes the most sophisticated analytics accessible to every user – an absolute democratisation of technology.

[pullquote align=”right”]Atul is being featured for the fourth time on this list.[/pullquote]Atul is a well known voice on technology and is sought for his views on analytics and consumerisation of technology, what is not known though, is that he also dabbles in poetry and takes a keen interest in a wide range of subjects from movies to quantum physics. Loquacious and a polymath, Atul can hold forth on the camera obscura, Spike Jonze’s Her or the latest quadcopter. AI and how it will impact consumer businesses is his current obsession, but once the tie is off, he is equally interested in how AI will impact our daily life and human institutions. If his maverick, entrepreneurial track-record is anything to go by, this could translate into something new. And the bigger and more beautiful it sounds, the more passionate he is likely to be about it.

Debashish Banerjee

Managing Director, Deloitte Analytics

Bringing more than 17 years of experience in variety of analytics, predictive modelling and data science projects, he has contributed extensively in the areas of advanced analytics, actuarial risk management, data mining and predictive modelling areas. Having started his career with GE, he has established and lead insurance analytics, pricing and reserving team for GE in India—arguably one of the first of its kind in India.

He moved to Deloitte in 2005 with the primary goal to set up the advanced analytics and modeling practice in India, where is currently oversees and provides leadership to the Deloitte Consulting’s Data Science practices which focuses on big data analytics, predictive modeling, cognitive and AI. Majority of his project offerings are in customer, marketing and HR domains.

[pullquote align=”right”]Deba is being featured for the second time on this list.[/pullquote]A voracious reader and traveler, he works closely with academicians as well as corporates and has been invited to many industry and academic conferences across India and USA. He is a nominated member of Board of Studies, ASIBAS and of PGDM Big Data Analytics program by IIT Kgp, IIMC and ISI Kolkata. He received a Golden Leadership award in 2016 from Amity University for his exemplary work in the FSI Analytics space. Apart from India, he looks after some global clients who are in based in USA, South Korea, Australia, and UK.

Deep Thomas

Chief Data & Analytics Officer, Aditya Birla Group

A reputed analytics expert, thought leader and a passionate evangelist of data science, Deep’s distinguished career spans more than two decades with a proven track record in delivering sustained and increasing profitability through business transformation leveraging information and digital capabilities, advanced analytics, novel processes, and multi-disciplinary talent.

As the Chief Data & Analytics Officer for Aditya Birla Group, Deep is at the helm of steering organisation-wide initiatives and transformation programs that leverage data and cutting-edge analytics solutions to enable business opportunities, growth and efficiencies across the enterprise. Prior to this, Deep was the founder CEO of Tata Insights and Quants, Tata Group’s Big data and Decision Science company. He has also held various key positions in US and India with MNCs like Citigroup, HSBC and American Express to steer their global agenda and data driven business transformation.

[pullquote align=”right”]Deep is being featured for the third time on this list.[/pullquote]Deep is also a well-known and frequently-heard voice on analytics and emerging technologies at leading Data science conferences both in India and abroad. He is a Computer Science graduate with an MS in Information Systems and an MBA in Marketing from Arizona State and holds numerous patents in Decision Science and Information Management.

Kaushik Mitra

Chief Data Officer and Head of Big Data & Digital Analytics, AXA Business Services (ABS)

Kaushik has the experience of working at the intersection of technology, analytics and marketing globally for around 25 years. He has assumed leadership roles across domains such as data science, AI, modelling and analytics, business intelligence and market research.

In his current role, he is responsible for driving a culture of data innovation & digital transformation in the organisation, and is involved in driving GDPR implementation in ABS. Prior to ABS, he was with Fidelity Investments in Bangalore where he was instrumental in setting up their Data Science practice. His stay in the US included similar roles in global organisations like Microsoft, Intel and IBM, and also a stint in academia.

With a Doctorate in Marketing from the US, his work has been published in international marketing and analytics conferences and journals including American Marketing Association, Academy of Marketing Science and Decision Sciences Institute. He is also a frequent speaker in Indian industry bodies like NASSCOM and various thought leadership forums.

Paritosh Anand

Vice President and Group Head – Analytics and Strategic Initiatives, Reliance Industries Limited

As analytics head of India’s largest private sector corporation and a Fortune 500 company, Paritosh brings extensive experience in setting up and delivering analytics practices for companies like GE, Deloitte and Eaton Corporation. During his last 15 years of professional career, he has worked in different domains including risk management, marketing, manufacturing and human resources functions.

In his current role, he is building a world class cross functional analytics and decision science practice for Reliance Industries Limited. He is also heading the digitisation vertical for Reliance Hydrocarbon business on its people processes as a strategic initiative to build an integrated digital platform based function. He is a statistician by academics and enjoys working on cross functional domains and platforms integrating big data analytics with technology to provide real time decision making solutions across business and functions.

Prithvijit Roy

CEO and Co-founder, BRIDGEi2i Analytics Solutions

Even before Prithvijit Roy co-founded BRIDGEi2i Analytics Solutions, he had been at the forefront of analytics development in India since the early days. He was actively involved in setting up two of the largest analytics centres in India—Genpact & Hewlett Packard, before starting what is now one of the fastest growing analytics firms in the Asia-Pacific region.

His journey for BRIDGEi2i began in 2011. Founded on the simple belief that data can help any organisation radically transform its business, BRIDGEi2i drives action for digital transformation across numerous industry verticals through a range of analytics solutions combined with AI-powered products.

[pullquote align=”right”]Jit is being featured for the third time on this list.[/pullquote]With 20+ Fortune 1000 companies filling up the rows of BRIDGEi2i’s client roster, Prithvijit and his team have rapidly scaled-up operations with a sharp focus on problem-solving and consistently delivering value. His vision for BRIDGEi2i to be at the cutting edge of advanced analytics and AI has been instrumental in driving AI/ML innovation, analytics capability development, and thought leadership in this space.

Ravi Vijayaraghavan

Vice President, Flipkart

In his current role he and his team are responsible for leveraging data, analytics and science to drive decision-making and business impact across all areas of Flipkart. Prior to joining Flipkart, Ravi was the Chief Data Scientist and Global Head of the Analytics and Data Sciences Organisation at [24]7.ai, where he invented, developed, implemented and optimised analytics and machine learning driven solutions. He has also held a variety of leadership roles at Ford Motor Company and Mu Sigma.

[pullquote align=”right”]Ravi is being featured for the third time on this list.[/pullquote]Ravi has 25+ patent filings, many refereed publications and has presented as invited/ keynote speaker at several international conferences. Ravi holds a Bachelor’s degree in Engineering from the Indian Institute of Technology – Madras, a PhD from University of Wisconsin-Madison, and an MBA from the Ross School of Business, University of Michigan – Ann Arbor

Ravi currently lives in Bangalore with his wife and son.

Sandeep Mittal

Managing Director, Cartesian Consulting

Over his 17+ years in the industry, Sandeep has been a driving force in helping some of the largest organisations in India and across the globe, adopt analytics and customer centricity. He has developed an analytics practice for over 100 clients, ranging from large telecom organisations, retail brands with hundreds of stores, online businesses, financial services companies, luxury hotels and resorts, airlines, and large restaurant chains.

With Cartesian he has built an organisation that has a global presence with clients in more than 10 countries. Cartesian today has a ML/ AI practice, a Digital Analytics practice, an Innovations Lab, and is building solutions that help embed analytics seamlessly into client organisations. At Cartesian, he is responsible for making sure that organisation is continually investing in capabilities, practice building and geographic expansion while also advising clients on their analytics roadmap. A regular speaker and contributor in the field, his sessions on customer analytics, storytelling with data, and the business of analytics, are highly sought after.

[pullquote align=”right”]Sandeep is being featured for the third time on this list.[/pullquote]Right now, he is spending time with his engineering team in building out Cartesian’s first, subscription based, AI product, aimed at improving effectiveness of marketing communication.

An alumnus of the Indian Institute of Management, Calcutta, Sandeep stays connected with music – writing and recording songs in a home studio. He also runs a web comic of his cartoons, many of which are around humour in data analytics.

Srikanth Velamakanni

Co-founder, Group Chief Executive & Executive Vice-Chairman of Fractal Analytics

Fractal Analytics, one of the most respected pure play analytics companies across the globe, aspires to power every human decision in the enterprise. Srikanth and the team at Fractal Analytics help companies leverage analytics, AI & deep learning to transform the way they make strategic, tactical and operational decisions. He is responsible for overall growth of the Fractal businesses, which include the core business of providing analytics services to Fortune 500 companies, along with Fractal’s AI based product businesses – Customer Genomics & Trial Run, Cuddle.ai and Qure.ai.

He has a BS in Electrical Engineering from IIT-Delhi and an MBA from IIM Ahmedabad. A former investment banker, he co-founded Fractal more than 18 years ago. Prior to Fractal, he has worked on structured debt transactions and collateralised bond obligations at ANZ Investment Bank and ICICI.

[pullquote align=”right”]Srikanth is being featured for the third time on this list.[/pullquote]Srikanth considers himself a lifelong student of mathematics, behavioural economics, neuroscience, consumer behaviour and enjoys speaking and writing on the power of Big Data to enable better decision making.

The post 10 Most Influential Analytics Leaders in India – 2018 appeared first on Analytics India Magazine.

Analytics India Annual Salary Study aims to understand a wide range of current and emerging compensation trends in Analytics & Data science organisations across India. The idea is to provide a reference point on key aspects around analytics salaries in India and potential future HR trends. It brings a cumulative picture of salary trends across company type, skills, analytics tools, cities, experience level, education level etc.

The study details about analytics professionals across company types such as captive centres, domestic firms, IT service providers, consulting firm and others, spread across various Indian cities.

Gender gap is another crucial area covered as a part of this year’s salary study. The pay scale of women analytics professionals seems to be at a lower end compared to male counterparts, and the study presents you with exact numbers.

It has been carried out by Analytics India Magazine in association with Great Learning. All salaries mentioned in the study are in Lakhs (L), per annum, in Indian rupees (wherever not mentioned).

Read our last year’s report here

Key Trends

• The median analytics salary in India for the year 2017 is INR 12.7 Lakhs across all experience level and skill sets.
• This is the highest median salary for analytics professionals ever, with almost 8% increase since a year ago.
• 37.6% of analytics professionals in India command a salary of less than 6 Lakhs. This is lower than 2017 (39%) & 2016 (42%).
• There has been visibly a more demand for senior professionals this year, thus pushing the average salaries higher.
• On one hand, the percentage of analytics professionals commanding salaries less than INR 10 Lakhs has gone lower; percentage of analytics professionals earning more than INR 15 Lakhs has increased from 17% in 2016 to 21% in 2017 to 22.3% in 2018.
• Analytics professionals with salaries in extreme bracket of 50+ Lakhs have decreased this year to 3.0% from 3.7% a year ago.

Salary Trend Across Cities

• Mumbai continues to be the highest paymaster in analytics at almost 13.3 Lakhs per annum, followed by Bengaluru at 12.5 Lakhs.
• Chennai & Hyderabad are the lowest paymaster at 10.2 Lakhs.
• In the 0-6 Lakhs bracket, Chennai dominates other cities with 42% of analytics professionals earning below 6 Lakhs followed closely by Hyderabad at 41.5%.
• Mumbai leads the pack in more than 15 Lakhs salary bracket, with 27% earning within this bracket, followed closely by Bangalore at 24%.

Salary Trend Across Experience Level

• Analytics salaries saw the decline at the entry level (0-3 yrs experience) this year. There was almost a 21% decline in salaries in this experience bracket from 6.6 Lakhs median last year to 5.2 Lakhs per annum.
• At entry level, almost 78% of analytics professionals are under the 0-6 Lakhs salary bracket. There is an indication that more entry level (fresher) professionals entered the analytics workforce this year, which is a good indication towards maturing of the industry.
• The salaries for 4-6 years of experience were relatively stable at 8.7 Lakhs.
• For other experience brackets, the salary increases have been relatively higher, especially at higher experience bracket at 12+ years experience, the salary rise in analytics has been around 20% this year.
• A transition to senior analytics leaders, with more than 12 years of experience, can lead to almost 60% increase in salaries.

Analytics Salaries Across Industries

• Telecom industry pays the highest median salaries to its analytics professionals at 18.6 Lakhs. Telecom industry has the highest number of professionals with 50Lakhs – 1 Cr salary range. 5.3% of analytics professionals in telecom sector command median salaries between 50 Lakhs – 1 Crore.
• Media/ entertainment industry pays the lowest at 10.3 Lakhs.
• Energy/Utilities/Manufacturing have highest number of professionals with 1 Cr+ salary range – 1.6% of analytics professionals in telecom sector command median salaries more than 1 Cr.
• The largest number of entry level analytics professionals are employed at ecommerce firms. These mostly include smaller ecommerce startups that have started to utilise analytics. Almost half of analytics professionals in ecommerce firms command less than 6 Lakhs of salary.

Salaries Across Analytics tools

• R Programming skills are most in demand with the highest salaries for R professionals at a median of 14.4 Lakhs.
• R is followed by Python, with median salaries of almost 14 Lakhs per annum.
• Python also saw the largest y-o-y jump in salaries with an increase of around 32%. R professionals saw an increase of around 30% in salaries.
• Hadoop professionals command an average of 12.6 Lakhs, a jump of just 5% from last year.
• Spark professionals command an average of 11.5 Lakhs with an increase of almost 14% from a year ago of 10.1 Lakhs.
• NoSql/ MangoDB professionals salaries remain unchanged from a year ago at 11.7 Lakhs.
• Qlikview professionals command higher than Tableau professionals in visualisation skill jobs – 13.5 Lakhs vs 12.2 Lakhs on median.
• Hadoop & Tableau salaries saw the least increase at around 5% on average.
• SAS salaries saw a jump of around 15% this year – from 10.3 Lakhs in 2017 to 11.9 Lakhs this year.

Salaries Across Analytics Role

• Advanced analytics/ predictive modeling professionals are paid the highest salaries compared to their analytics peers i.e. 14.5 Lakhs on median. Their salaries though have remained stagnant since last year, primarily due to larger number of professionals getting into this role.
• Big data professionals and data mining professionals get up to 14 Lakhs & 11 Lakhs on median.
• BI, Reporting, MIS professionals get upto 8.7 Lakhs on median.
• The biggest jump in salaries this year came for Data Engineering professionals. Their median salaries increased 23% from 11.5 Lakhs to almost 14.2 Lakhs this year. There have been various indications that this year the demand for data engineering professionals have increased.

Salaries Across Company Type

• Captive analytics centers continue to be highest salary providers in analytics, at an average of 15,2 Lakhs, an increase of 8% from last year.
• They were followed by Consulting firms at 14.9 Lakhs and Domestic firms at 13.4 Lakhs of analytics salaries on an average.
• Large IT firms provide the lowest analytics salaries in India at 10.1 Lakhs. Interestingly, their median analytics salaries have decreased this year by almost 10%. This has largely been due to the overall negative impact on IT sector last year and attritions in this IT space. Large IT firms have been affected the most and their overall salaries have gone down including that of analytics.
• Boutique analytics firms have increased their median salaries by 7% to 10.2 Lakhs.

Salaries By Education Level

• Analytics professionals with a PhD command the highest salaries at a median of 22.7 Lakhs per annum.
• This is followed very closely by MBA’s from premier institutions like IIMs, at a median of 22.2 Lakhs.
• Engineering graduate not from premier institution and with no masters command the lowest salaries in industry at 9.8 Lakhs. It is apparent that upskilling through analytics related courses adds to the salaries over time.

Gender Gap

• Women analytics professionals in India command almost 32% lesser salaries than their male counterparts. On median, women data scientists command a salary of 9.3 Lakhs whereas male professionals command 13.7 Lakhs.
• It is a well known fact that gender pay disparity is a reality and this is very much evident in the analytics field. Women participation in STEM related area is very low and given how analytics is related to coding as well as mathematics, women salaries are evidently very less from male analytics professionals.
• There have to be concerted efforts from the industry to have more participation from women in the analytics field, following which the disparity can be seen going away in the coming years.

Conclusion

IT service providers, that primarily provides services to analytics clients across the globe showed a downward trend over the last one year. The study suggests that IT firms have been affected the most and analytics salaries have gone down drastically. As opposed to the earlier years where IT service providers claimed one of the larger portions of analytics salary, IT firms provided the lowest analytics salaries in India, this year. The median salaries have decreased this year by almost 10%. This can be largely attributed to the overall negative impact on IT sector (such as automation), and increased attrition rate in IT space.

While IT firms has shown a negative trend, the demand for data engineering professionals have increased across the companies, resulting in a significant jump in their salary structure. Whereas for salaries across analytics skills, advanced analytics roles and predictive modelling professionals grabbed the limelight compared to other roles. Despite being one of the highest earners, the study shows that their salaries have remained stagnant due to increase in supply. R remains to be the most in demand with highest salaries, followed by Python.

As for the entry level jobs in analytics, the industry witnessed an overall decline in their salary structure, whereas the salaries for mid level experience have remained relatively stable compared to last year.

Here Is The Complete Report

The post Analytics India Salary Study 2018: By Analytics India Magazine and Great Learning appeared first on Analytics India Magazine.

There are many deep learning frameworks out there and it can lead to confusion as to which one is better for your task. in this article, we will evaluate the different frameworks with the help of this open-source GitHub repository.

Frameworks are like different programming languages. One has its own way of communicating with the systems. This article shows how the frameworks built for deep learning are different in terms of various factors. There can be situations where the code could be written in Java, while you are familiar with Python. Instead of writing the model in Python language you can simply implement Java and work on the model.

The goal of this repo was to make a comparison between different benchmarks helping the data scientists implement their work easily, and to make a GPU comparison with respect to the advancement. The open-source communities have also collaborated to this project making the process easier.

Benchmarking Outcomes

Three types of dataset were used on two different GPUs for framework comparison.

The first was the CIFAR-10 dataset with 50,000 training samples and 10,000 test samples, uniformly distributed over 10 classes. Every image has a depth of 3 and 32×32 shape and has been rescaled from 0-255 to 0-1.

A CNN has been used across different platforms with GPU support — Nvidia K80 and P100, with CUDA and cuDNN. CUDA (Compute Unified Device Architecture) is a parallel computing platform developed by Nvidia. CUDA support is required on these frameworks for the implementation of GPU while training and testing the models. Similarly, cuDNN is a Deep Neural Network library developed by Nvidia for high tuning of the computations like front propagation and backpropagation.

* – Not submitted at the time of benchmarking.

Average Time for 1,000 Images: ResNet-50 – Feature Extraction

The next model was the pre-trained ResNet50 split after average pooling at the end (7,7), which creates a 2048D vector. After passing this to a softmax, it squashes the values between 0 and 1, like probabilities. This has been performed on the same Nvidia GPUs and CUDA platforms.

* – Not submitted at the time of benchmarking.

A sentiment analysis has been done on the IMDB dataset available on the website. The training set had 25,000 reviews and the test samples were in 25,000, strategically sampled with equal number of positives and negatives. Comparison of the time taken during training is shown below

* – Not submitted at the time of benchmarking.

Study Analysis

1. Most frameworks use cuDNN’s algorithm to run an exhaustive search and optimise the algorithm used for the forward-pass of convolutions on your fixed-sized images. For example, this can be implement on the torch platform with the following command “torch.backends.cudnn.benchmark=True”.
2. cuDNN improves speed of the computations while training the RNNs. The downside is that running inference on CPU later-on may be more challenging.
3. From the analysis we can see that the K80 GPU is less powerful compared to the P100 GPU even though both have CUDA and cuDNN support.
4. This particular benchmarking on time required for training and feature extraction exhibits that Pytorch, CNTK and Tensorflow show a high rate of computational speed.

It has been determined that larger number of frameworks use cuDNN to optimize the algorithms during forward-propagation on the images. By comparing these frameworks we found out that the architecture and the data used by each of them was similar. The computation speed and time with respect to all the frameworks has been conducted but . They are simply meant to show how to create the same networks across different frameworks and the performance on these specific examples.

ONNX (Open Neural Network Exchange Format) was useful not only while developing a framework, but also while converting the score of the model. Also, MMdnn tools convert between different framework and visualise the architecture at the same time.

The study was completed with the help of the various teams’ contribution who are working on different frameworks. First, the Keras with Tensorflow has channels-last configuration which needed to specify the parameters at every batch, but now it has been developed and a channel-first is now a native configuration. This repo is the version 1.0, and the team is working on considering other benchmarks to work on and build a comparison model.

Frameworks – Tensorflow, Julia, MXNet, Keras, Theano, R, CNTK, Pytorch, Caffe2, Chainer and Gluon.

The post Evaluation Of Major Deep Learning Frameworks appeared first on Analytics India Magazine.

With our annual ranking on analytics courses offered in India, we aim to provide a roadmap to analytics professionals in excelling their skills. It remains one of the most asked questions by analytics professionals on which are the best courses offered in the industry. With this ranking, we try to clear the existing confusion in prospective students mind. According to research, there are more than 200 analytics courses in India, and picking the one that suits a student’s requirement can be challenging.

While we have been doing a combined ranking of full time and executive courses till now, this year we have brought a separate ranking for both, keeping in mind the target audience. On one hand, where full time courses may suit those willing to give more time in completing these courses, executive courses work the best for working professionals. Keeping in line with their busy schedules, these courses are designed in a way that lets them make the most of it—weekend scheduled, online classes, case based studies, being a few.

For this year’s study we received 15+ nominations and these institutes have been ranked on six parameters i.e. course content, pedagogy, external collaborations, faculty, brand value and other attributes like placement assistance, LMS, events, virtual labs and others. These have been rated on a scale of 1-5 (where 1 is for Worst and 5 is for Best) for all 6 parameters individually to arrive at an overall ranking. Apart from these parameters, the study also considered students as well as expert feedback before arriving at Top 10 Executive Analytics Courses in India – Ranking 2017.

1. PGP in Business Analytics and Business Intelligence – Great Lakes Institute of Management

• Headquarter: Gurgaon
• Cities of Operation: Chennai, Hyderabad, Bangalore, Gurgaon, Mumbai, Pune
• Mode of Delivery: Both classroom sessions and online learning.
• Duration of Program: 1 year
• No. of hours: 440 hours – 240 classroom hours + 200 hours of online/ classroom learning (including capstone project)
• Cost of the Program: INR 3.95 Lakhs + Taxes

PGP-BABI continues to be our top ranked course for 3rd year. Delivered by Great Learning, which is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant learning programs to working professionals.

Course Content (Rating 4.9): The course curriculum is divided into three stages—business foundation that covers basis of management along with statistical method, analytical techniques that covers in-depth study of analytical tools and techniques such as R, Tableau, SAS, and finally the application & industry exposure which includes industry led modules in various domains of analytics including retail marketing, financial and risk analytics etc.

Pedagogy (Rating 4.8): PGP-BABI uses a combination of learning methods that include classroom teaching, self-learning through videos and reading materials, team-based problem solving, and sessions with industry experts. Some of the distinguishing features are blended learning module, corporate collaboration, and capstone project that allows you to apply your learning to real industry projects and add it to your portfolio.

Faculty (Rating 4.8): The faculty to student ratio is 1:6 with 18 faculties holding PhD and 62 with industry experience. Two of their faculty members, Dr. PK Viswanathan and Dr. Bappaditya have been featured in the top ten academicians of the country, while Dr. RL Shankar has been featured as “The Professional Simplifier”.

External Collaboration (Rating 4.7): They have collaborated with over 100+ industry experts who design, deliver, and endorse their program. They are instrumental in mentoring their candidates through the capstone project, resume workshops, and career enhancement sessions. Their alumni earn dual certification from Great Lakes Institute of Management and Illinois Institute of Technology, Chicago.

Brand Value (Rating 4.7): Great Lakes, within a short span has emerged to be one of the top ranked business schools in India. With a lot of accreditations to its name, it has become the youngest B-School in India to have received accreditation by Association of MBAs (AMBA, UK) for its PGPM and PGXPM programs. Its PGP-BABI program has been the leading executive courses in analytics.

Other Attributes (Rating 4.8): They have a dedicated team for customer success to engage and aid alumni for career success. The Great Lakes Job Board can be accessed by all participants even after they have graduated from the program. They conduct resume workshops and industry sessions. They conduct virtual lab events and have a LMS, Olympus that is scalable and comprehensive technology platform that encapsulates all aspects of blended and mentored learning.

The overall rating for Great Lakes Institute of Management is 4.78

2. PGPDM in Data Science and Machine Learning- University of Chicago

• Headquarter: Bengaluru
• Cities of Operation: Bengaluru, Gurgaon
• Duration of Program: 10 months with 1-year access to Jigsaw LMS
• No. of hours: 450+ hours (96 hours of in-person training + 40 hours of live online + 200+ hours of recorded videos +100+ hours on capstone project)
• Mode of Delivery: Both/Blended
• Cost of the Program: INR 3.35 Lakhs + Taxes

Though a recent entrant in the space, this program wins due to 3 reasons – exceptional brand value associated with University of Chicago, extensive industry collaboration and course content that encompasses all aspects of data science.

Course Content (Rating 4.9): This is the most comprehensive data science program, with a curriculum spanning analytics, machine learning, deep learning and AI. University of Chicago Graham School & IBM tied up to provide a detailed and cutting edge analytics and machine learning course.

Pedagogy (Rating 4.5): The PGPDM is application-oriented in nature, integrating business strategy, project-based learning, simulations, case studies, and specific electives addressing the needs of the industry. It is delivered in three ways—In-person classes with University of Chicago, industry professionals & Jigsaw faculty.

Faculty (Rating 4.7): They have a faculty to student ratio of 1:1, with a batch size of between 30-50. All the University of Chicago faculty have PhD and multiple years of experience in industry and research. It is first analytics course in India to bring faculty from a college in USA, which is amongst the top three.

External Collaboration (Rating 4.7): The program offers best of both worlds with instructors from University of Chicago, industry experts from Jigsaw and analytics practitioners from IBM coming together to deliver a great learning experience.

Brand Value (Rating 4.8): Jigsaw Academy has been a pioneer in Indian analytics education and its collaboration University of Chicago, US, has added to its brand value. With projects and hiring from the likes of IBM, Fractal, Analytics Edge etc., they have an alumni base of over 40,000 students.

Other Attributes (Rating 4.5): It provides extensive placement assistance with exclusive job postings, mock interviews, question banks and live contests. Multiple industry speakers across all contact sessions, live capstone projects, soft skill training, LMS are some of its other features.

The overall rating for University of Chicago is 4.68

3. PG Diploma program in Data Science in association with IIIT- UpGrad

• Headquarter: Mumbai
• Cities of Operation: Online, Global
• Duration of Program: 11 months
• No. of hours: 500 hours of online learning
• Mode of Delivery: Online. 90% of the lectures are asynchronous in nature, delivered by industry experts and leading faculty, 10% of learner time is spent clarifying academic doubts.
• Cost of the Program: INR 2.25 Lakhs

UpGrad, founded by media stalwart Ronnie Screwvala, has successfully launched programs in data science, big data engineering, software engineering, digital marketing, product management, and entrepreneurship, in collaboration with leading Indian and foreign universities such as BITS Pilani, Cambridge University, and IIIT Bangalore, among others.

Course Content (Rating 4.7): The program offers the right blend of statistical know-how, technological expertise, and business knowledge. It has been designed along with IIIT Bangalore and multiple industry leaders. It covers areas of data management, statistics and exploratory data analysis, machine learning, big data analytics.

Pedagogy (Rating 4.5): The learning experience has been designed keeping in mind the working professionals. The teaching style is case-led, wherein faculty and industry experts use a series of industry-relevant examples to teach complex data science and analytics concepts.

Faculty (Rating 4.6): 67% of its faculties are with PhD and 94.4% with industry experience. Of the 18 faculty members who have worked closely with UpGrad to design the course, 14 are working in or have worked in the analytics industry.

External Collaboration (Rating 4.6): The program has established flagship partnerships with analytics leaders such as Uber, Genpact, Fractal Analytics and Gramener. Further, it has been built in collaboration with 30+ analytics industry experts from leading corporations.

Brand Value (Rating 4.4): Along with a collaboration with IIIT Bangalore, Upgrad has partnered with more than 50 companies such as the likes of Star TV, Disney, Google, Microsoft, to develop program content and provide mentorship to students.

Other Attributes (Rating 4.6): Career support is provided as a part of this program along with relevant preparatory material to help learners understand the industry landscape, build their resumes, and prepare for interviews. It also conducts a series of offline events known as the ‘Basecamp’. UpGrad’s proprietary technology platform hosts all the recorded video content, reading materials, assessments, projects and live sessions in a systematic manner.

The overall rating for UpGrad is 4.57

4. Executive Program in Data Science using Excel & R- Talent Edge by XLRI Jamshedpur

• Headquarter: Gurgaon
• Cities of Operation: Online/Global
• Duration of Program: 5 months
• Mode of Delivery: Online
• Cost of the Program: 70,000+taxes

Talentedge is an Ed-Tech firm and amongst the first to have brought the ‘Live & Interactive’ anywhere learning in digital format. It offers courses jointly with world leading institutes and corporates, enabling working professionals to plan their future course of action and fast track their careers.

Course Content (Rating 4.5): The program content and structure is designed entirely by XLRI and provides hands on exposure to popular business analytics tools like excel and R.

Pedagogy (Rating 4.4): The classes are conducted through live lectures that is beamed online via internet to student desktops/laptops or classrooms using Talentedge’s Direct To Device platform. The pedagogy comprises of lectures, case studies, interactive sessions, project work and class exercises imparted by XLRI’s faculty.

Faculty (Rating 4.5): Lectures are imparted by eminent faculty from XLRI and Industry experts. One of their prominent faculties is Dr. Soumyakanti Chakraborty, Fellow (IIM Calcutta), B.Tech (Calcutta University), XLRI Jamshedpur

External Collaboration (Rating 4.4): They have an external collaboration with XLRI, one of India’s leading management school based in Jamshedpur. They also have many corporate alliances with industry.

Brand Value (Rating 4.6): XLRI is acknowledged as India’s oldest business management school and with its single vision of Magis, i.e., pursuit of excellence, it has been focusing well on three areas academic excellence, personal values and social concern.

Other Attributes (Rating 4.2):  They have a periodic evaluations built in through the duration of course which may be in the form of quiz, assignment, project or other objective/subjective assessments as relevant and applicable to the program.

The overall rating for Talent Edge is 4.43

5. Executive Program in Business Analytics (EPBA)- MISB Bocconi

• Headquarter: Bengaluru
• Cities of Operation: Mumbai
• Duration of Program: 10 months with 2-year access to Jigsaw LMS
• No. of hours: 650+ hours (189 hours of in-person training + 60 hours of live online + 300+ hours of recorded videos + 100+ hours on capstone project)
• Mode of Delivery: Both/Blended
• Cost of the Program: INR 6.4 Lakhs + Taxes

The Executive Program in Business Analytics launched by MISB Bocconi, the world’s only offshore presence of Università Bocconi, and and India’s best-ranked data analytics training institutes, Jigsaw Academy.

Course Content (Rating 4.4): With an average work experience of almost 15 years for the batch, the EPBA is amongst the most sought after programs in the country for senior professionals. In line with its target audience, the curriculum of this program is more focused on breadth rather than depth. This program will train you for a leadership role in analytics rather than an entry level role.

Pedagogy (Rating 4.4): The EPBA is focused on bring top class faculty to India to teach the analytics program. The teaching includes in-person classes with Bocconi faculty, industry professionals and Jigsaw faculty.

Faculty (Rating 4.6): They have a faculty to student ration of 1:1, with a batch size of around 35. All SDA Bocconi faculty have PhD and multiple years of experience in industry & research, and have been involved with startups and corporate giants. It is the first program in analytics to bring faculty from a European and global top 10 university to India.

External Collaboration (Rating 4.5): The course is offered in collaboration with SDA Bocconi, Milan, that is ranked among the top 10 business schools globally. The professors from Bocconi, Milan fly down to teach. They also have tie-ups with Axtria, Analytics Edge, Tata Motors, Smart Cube, Kainoos, Data Semantics for projects and hiring.

Brand Value (Rating 4.4): Jigsaw Academy has been a pioneer in Indian analytics education and its collaboration MISB Bocconi has made it one of the preferred choice of students, universities and companies. With projects and hiring from the likes of IBM, Fractal, Analytics Edge etc., they have an alumni base of over 40,000 students.

Other Attributes (Rating 4.2): It provides placement assistance, exclusive job posting, mock interviews, question banks, live contests. It also provides Amazon cloud based virtual labs for R, Python, and Big Data available 24×7 to all students. It also has live capstone project and soft skills training for presentations.

The overall rating for MISB Bocconi is 4.42

6. EPGP in Data Science, Business Analytics & Big Data – Aegis School Of Data Science

• Headquarter: Mumbai
• Cities of Operation: Mumbai, Pune, Bangalore, Online
• Duration of Program:11 months (9 months training + 2 months capstone project/internship )
• No. of hours: 800 hours
• Mode of Delivery: Weekend Classroom/ Weekend Online live interactive
• Cost of the Program:Weekend Classroom- Mumbai- 4.5 Lakhs, Pune-3 lakhs, Bangalore- 3.6 lakhs, Weekend Online live interactive – 2.75 lakhs

In 2015 Aegis and IBM collaborated to launch, India’s first Data Science Program known as Post Graduate Program in Data Science, Business Analytics and Big Data. IBM has set up Business Analytics Lab and Cloud Computing Lab at Aegis Campus.

Course Content (Rating 4.5): The core course includes Statistics and probability, R and Python for Data Science, Hadoop, big data with Apache Spark, machine learning for data science, IBM Watson analytics, business use cases of big data and data science and much more. Whereas the elective course comprises of Scala, Qliksense, marketing analytics, social media analytics, machine learning with Microsoft Azure, MongoDB, Apache Hive, Apache Pig, fundamental of financial statement analytics, big data on AWS: Amazon Elastic MapReduce (EMR), amongst others.

Pedagogy (Rating 4.3): The program is delivered using an innovative, experiential learning methodology that includes classroom lectures by Aegis faculties, IBM experts and industry experts engaged in real life data science projects providing the theoretical and in-depth conceptual knowledge.

Faculty (Rating 4.4): They have a faculty to student ratio of 1:4 with 17 faculties with PhD and 41 with industry experience

External Collaboration (Rating 4.5): In 2015 Aegis joined hands with IBM to offer full time and executive post graduate program in data science, business analytics and big data and PGP/EPGP in cyber security. Another collaboration is with NVIDIA DLI to conduct and impart training on artificial intelligence and deep learning. It also has partnership with MTNL, a leading Govt. of Indian telecom service provider and collaborations with the various companies.

Brand Value (Rating 4.3): With its candidate’s placed in 45+ companies such as Accenture, Aditya Birla, Suzlon, Fractal, IBM, HDFC, Ford Automotive, and more, it speaks of the brand value it has.

Other Attributes (Rating 4.4):  It has a career management center that provides all students placement and paid internship opportunities. Aegis-IBM has setup state of the art lab for the participants and the faculties, which helps them to work on various data science tools, platforms, IBM specific software and projects.

The overall rating for Aegis School of Business is 4.40

7. Post Graduate Diploma In Data Science- Times Pro

• Headquarter: Mumbai
• Cities of Operation: 20 cities pan India including Bangalore, Mumbai, Pune, Hyderabad, Kolkata, Chennai, Lucknow, Delhi
• Duration of Program: 6 months
• No. of hours: 380 hours
• Mode of Delivery: Classroom/ Online

Times Professional Learning (TPL) is a unique training & education initiative from Bennett, Coleman Co. Ltd. (the Times Group) that aspires to solve the skills puzzle in India by adopting dynamic learning methodologies. TPL has an expertise in providing training solutions in the area of Big data, Data Sciences, Data Analytics & Artificial Intelligence.

Course Content (Rating 4.4): PGDDS program is designed for experienced professionals who want to gain a deep understanding of how to use data as a strategic asset. This program teaches students both to understand the role of evidence-based data in decision-making and to leverage data as a strategic asset.

Pedagogy (Rating 4.3): The program is delivered by a team of leading faculty members and industry experts, Industry practitioners in live classroom instruction along with hands-on sessions. The program is designed on a schedule that minimizes disruption of work and personal pursuits.

Faculty (Rating 4.3): The faculty to student ratio is 1:15 with number of faculties with PhD to be 7 and those with 14 with the industry experience.

External Collaboration (Rating 4.6): They have partnered with NVIDIA Deep Learning Institute (DLI) that offers hands-on training for developers, data scientists and researchers looking to solve world’s most challenging problems with deep learning.

Brand Value (Rating 4.2): Times Pro is an initiative by the Bennett, Coleman & Co. Ltd. (BCCL) group, which has 45 leading brands across sectors and a turnover of approx. U.S. $1.5 Bn. Its collaboration with NVIDIA, a market leader in deep learning and AI also speaks for its brand value.

Other Attributes (Rating 4.3): They provide placement assistance to candidates who have completed the course with them. They also have well equipped labs at each center and provide laptops to students during the course duration.

The overall rating for Times Pro is 4.35

8. PGDM/MBA in Business Analytics- REVA University

• Headquarter: Bengaluru
• Cities of Operation: Bengaluru
• Duration of Program: PGDM – 1 year, MBA – 2 years
• No. of hours: PGDM – 560 hours, MBA – 960 hours
• Mode of Delivery: Hybrid program with weekend classes and online LMS support
• Cost of the Program: PGDM- INR 2.8 Lakhs, MBA- INR 3.8 Lakhs

RACE, an initiative of REVA University, was created to develop visionary enterprise leaders for corporates. It offers a range of techno-functional programs specially designed to suit the needs of working professionals to enhance their careers. RACE currently offers both long and short-term analytics programs for working professionals.

Course Content (Rating 4.3): The program covers descriptive, predictive, prescriptive and cognitive analytics in real-life scenarios. The PGDM/MBA in Business Analytics in association with IBM is a 12/24 months’ modular program in business analytics, in association with IBM.

Pedagogy (Rating 4.3): They have a 100% outcome driven/skill based program designed for working professionals to enhance their career in mid and senior positions in business analytics. The program is completely practical and lab based using either proprietary or open software used in the analytics market today.

Faculty (Rating 4.4): The faculty to student ratio 1:4, and the number of faculties with PhD is 3, while with the industry experience is 10.

External Collaboration (Rating 4.5): The program is offered in association with IBM. Other partners include Jigsaw Academy (online partner), Predictive Analytics/ Let’s learn analytics Ltd. (Delivery partner) and Datawise Inc. (Delivery partner).

Brand Value (Rating 4.1): RACE is a part of REVA university established under the Government of Karnataka Act 80 of the year. The founders of REVA University, with a missionary zeal, visionary outlook and philanthropic approach coupled with four decades long entrepreneurial leadership are recognised as leading edupreneurs creating world class education. 

Other Attributes (Rating 4.2): They provide 100% placement assistance with lateral placement opportunities. Each participant gets an industry mentor who helps in improving their learning and explore placement opportunities. They also conduct hackathons and analytics competitions.

The overall rating for REVA University is 4.30

9. Executive PGDM in Business Analytics – IFIM Business School

• Headquarter: Bengaluru
• Cities of Operation: Bengaluru
• Duration of Program: 15 months
• Mode of Delivery: Hybrid model (live streaming of lectures + classroom teaching)
• Cost of the Program: INR 3.75 Lakhs

IFIM Business School, Bangalore, offers a range of options for executive education including an extremely well received AICTE approved 15 month EPGDM-Business Analytics offered in collaboration with IBM.

Course Content (Rating 4.1): Business Analytics course of IFIM imbibes skills, technologies and practices that are at par with the industry requirement. Since it caters to different industries and numerous domain at work, the curriculum offered at IFIM brings in a holistic knowledge to the student, and has been designed by industry experts with the vast knowledge in data mining field.

Pedagogy (Rating 4.3): The best practices in terms of pedagogy includes live case studies, practical hands on exposure to various tools and software such as RStudio, Hadoop, SPSS, Tableau, Advanced EXCEL, SQL Cognos, Power BI and Open Source predictive analytics tools like Rattle, KNIME (Text Mining & Deep Learning) and Open Source Text Mining.

Faculty (Rating 4.4): With a faculty to student ratio of 1:15, they have a total of 6 faculties with PhD and 13 with industry experience.

External Collaboration (Rating 4.3): IFIM has created a business analytics course for students and working professionals to learn and apply analytics solutions and solve real-world problems with IBM and open source tools.

Brand Value (Rating 4.2): IFIM Business School, Bangalore was founded in the year 1995 and has over the years grown to be amongst the top ranked business schools in India.

Other Attributes (Rating 4.3): The Institute has a dedicated Placement team which handles the training and placement related needs for different courses. It recently organized its 10th International Conference on Digital Business: New Frontiers in Management with its specific theme on Business Analytics & Big Data in Digital Business.

The overall rating for IFIM is 4.27

10. Predictive Business Analytics – Bridge School of Management

• Headquarter: Gurgaon
• Cities of Operation: Gurgaon
• Duration of Program: 11 Months
• No. of hours: Online- 440 + hours, Classroom- 260 + hours
• Mode of Delivery: Blended
• Cost of the Program: 4.2 INR Lakhs + Taxes

Bridge School of Management is a venture of HT Media Ltd., India’s second largest and most trusted media company. The Predictive Business Analytics program is offered in partnership with Northwestern University, USA and provides placement assistance to all successful graduates

Course Content (Rating 4.2): It offers a blended program to suit working professionals. The Predictive Business Analytics course at Bridge is strategically designed to provide strategic knowledge of Analytics and give hands on experience on using tools and mining insights.

Pedagogy (Rating 4.3): Pedagogy is a blended format with flipped classroom model. Students take face to face sessions over the weekend with industry practitioner faculty, and the sessions are delivered with the help of case studies, live -industry examples, numerical and practical coding sessions.

Faculty (Rating 4.3): The faculty to student ratio is 1:20, with 20 faculties with relevant industry experience. All the of them are industry experts with 10+ years of experience, from corporates like AMEX, RBL, SBI cards etc.

External Collaboration (Rating 4.3): They have collaborated with Northwestern University (School of professional Studies), USA

Brand Value (Rating 4.1): Being in the industry for last few years, they have been able to place candidates in companies like HCL, Policy Bazaar, American Express, Indigo, Hero, Luminous and many more. Backed by India’s leading media company HT Media and Global Education group-Apollo Global (USA), it has been delivering innovative learning environment for the working professionals.

Other Attributes (Rating 4.3): They provide 100% Placement Assistance. Each batch goes through a series of tool learning along with a live project.

The overall rating for Bridge School of Management is 4.25

Your Opinion Matters

The post Top 10 Executive Analytics Courses in India – Ranking 2017 appeared first on Analytics India Magazine.

For this year’s Analytics and Data Science Leaders Outlook study, we surveyed 61 analytics leaders in India, ranging from Chief Analytics Officer, head of Data Science, Director & VP’s of Analytics. With this study we aim to get an idea of the overall sentiment around analytics and data science industry in India, and leaders’ opinions about where they see analytics industry developments going in the year 2018.

It covers the viewpoints of leaders around how they would predict the growth in their own organisation, their hiring plans, growth areas that they would focus on, and many more. Sentiment analysis are an effective indicator to get an idea on how the industry is going to fare in the coming year.

This is the fourth year of our in-depth survey on analytics and data science leaders’ outlook, and here are the results.

Read: Analytics & Data Science Leaders Outlook in India – 2017

All respondents expect the demand of Analytics at their organization to increase over the next 12 months. Thus, the sentiment outlook within the industry continues to be at a high. This result is consistent from last year.

Next, we asked the leaders to rate on a scale of 1-10, if they are confident on analytics being a key focus area for organizations globally over next 12 months –

• 62% leaders gave a perfect 10/10 score. This is much higher than 36% from last year and 47% from 2016.
• Average Confidence score was 9.38/10; higher than 8.7/10 in 2017 and with 2015 score of 9.0/10.

Also, we computed the Net Sentiment Score (Calculated as difference of % respondents with score of 10s & 9s and % respondents with score from 0 through 6s).

• Net Sentiment Score among analytics leaders in India is at a four year high of 80%. Last year score was at 51%.
• Overall, Analytics leaders in India exhibit a strong positive outlook towards the industry this year.

• 90% of decision makers plan to increase their analytics workforce in next 12 months. This is higher than 87% from 2017 and lower than 94% from 2016.
• 10% leaders say that their current analytics strength would remain same for the coming year.

Key Challenges

• ‘Unavailability of Analytics Talent’ continues to be the biggest challenge faced by Data Science Leaders in India.
• 70% decision makers believe that ‘Unavailability of Analytics Talent’ is the major challenge that they face. The percentage is almost same from last year at 66%.
• 49% of leaders believe that ‘Little knowledge of analytics among customers’ is a major challenge for them. This too remain the same from last year at 45%, though dropped significantly from 2016/15 at 58%.
• “Procedures/ Processes not standardized” is the third largest challenge faced by the analytics decision makers. Almost 44% of leaders believe to face this as a biggest hindrance to their business.
• Few leaders are wary of competition; just 11% believe it’s a challenge for them (down from 15% last year).
• Only 11% believe that analytics demand has peaked, almost same as 13% last year.
• The biggest change in challenges faced is for “Analytics as a discipline has not grown in offerings”. 11% believe it to be a challenge, down from 23% from last year.

Growth Area

We asked our respondent on what according to them are the biggest growth industries for analytics in next 12 months.

• ‘Digital/ Online/ Mobile/ Social’ is considered to be the top area of growth in analytics. 65% respondents believe this to be the top growth area, which is higher than 2017 results of 55%.
• ‘IOT / Sensor/ Predictive Maintenance’ follows at 58%, down from 66% in 2017 & 69% in 2016.
• ‘Geospatial/ Images/ Videos’ saw the biggest increase this year: from 37% respondents in 2017 claiming it to be biggest growth area, to almost 53% this year.
• ‘Pharma/ Healthcare’ & ‘BR/ Talent/ People’ was a drop as growth areas this year.

Key strategic decisions

We asked our respondents on the key strategy decisions that they plan for the coming year in order to grow their business.

• 72% analytics leaders plan to collaborate with external partners.
• 69% are planning to grow their existing offerings.

% of Advanced Analytics

We asked an added question, on how the analytics organizations for these leaders are composed in terms of executing advanced analytics projects. We asked our respondents the percentage of work in their organization that involves advanced analytics.

Analytics leaders claimed that in 2018, 42% of the analytics work is in the area of Advanced/ predictive analytics/ modeling. This is exactly the same as last year.

The post Study: Analytics & Data Science Leaders Outlook in India – 2018 appeared first on Analytics India Magazine.

Here is the fresh list of 10 startups in artificial intelligence and machine learning that are leading the race in the year 2018. These startups come from different backgrounds, such as providing AI services to healthcare, banking, fintech, diagnostics and HR, among others. Over the years startups have been striving to bring unique propositions into the market, and the developments listed by these companies prove it. While there are over 300 startups in the space in India alone, we have picked up these 10 names for this year’s list. These startups are about two to three years old and have shown significant development over the years and are likely to do so in the year 2018.

NOTE: These startups are listed in alphabetical order.

Read our last year’s list here.

Artivatic Data Labs

Founded in September 2016, Artivatic Data Labs is an end-to-end AI infrastructure platform that is built on deep-tech, ML technologies with in-depth analogy of genomic science, psychology and neuroscience. It helps large enterprises, startups and developers to build and integrate intelligent products and solutions without any developmental efforts. It is enabling industries such as banking, insurance, lending, wealth management, manufacturing, healthcare, robotics to have ‘Smart AI Brain’ to make processes automated and allow self decision in real time.

With over 25 in-house built products, which are currently utilised to build more than 10 industry solutions, the startup already has one patent filed in India and the US, and more than five patents already in the process.

The Founding Team: Founded by Layak Singh and Puneet Tandon, the idea behind starting the company was to enable the enterprises to have human brain-like intelligent system, which has the power to make self decisions without any human intervention. They believed that decisions which are taken by humans using traditional analytics costs time, money and are often error-prone. With a team of over 30, they are trying to achieve the perfect AI brain. They have been funded with a total amount of $350,000 till now.

Avaamo

Avaamo is a deep-learning software company that specialises in conversational AI interfaces to solve specific, high impact problems in the enterprise. Avaamo is building fundamental AI technology across a broad area of neural networks, speech synthesis and deep learning to make conversational computing for the enterprise a reality.

Its proprietary AI algorithms combined with Deep Domain ML models learn and perform multi-turn conversations and execute judgment intensive tasks just like humans. It provides a cognitive technology driven platform that dramatically simplifies the time needed to design and deploy enterprise bots or virtual assistants to corporate employees and their customers. At the core of Avaamo’s platform is a secure messaging infrastructure that delivers scalability, reliability, security, and integration to legacy enterprise workflows and applications.

Avaamo’s technology can be embedded into any platform by entering a few lines of Javascript in existing mobile access systems — a quantum jump from the traditional model of building an app.

The Founding Team: It was founded by Sriram Chakravarthy (CTO) and Ram Menon (CEO). Avaamo’s conversational AI platform is currently being deployed globally across a diverse set of financial institutions, telcos, retailers and mutual funds including few of the oldest banks in US, Europe, and one of the biggest insurance firms in Asia, along with few big telecom service providers across the world.

Bash.ai

Since its inception in March 2017, Bash.ai has been automating HR processes and thereby helping in better and consistent employee experiences. It is essentially a tool that uses AI and big data to power virtual assistants and drive HR for businesses, by mimicking cognitive functions related to HR. Its user-friendly front end interface gives organisations a highly accurate and real time way to automate conversations with employees within an organisation. It can be accessed using instant messenger platform such as Facebook Messenger, Slack, Skype, and currently has modules such as post hire orientation, ticketing, HR helpdesk, employee engagement, organise HR activities and answer questions related to payslips, company policies, among others. They want to go towards an ecosystem where AI and humans coexist efficiently in the HR settings.

The Founding Team: It was founded by Barkha Sharma, who has spent over eight years in HR. Having started with a team of three in the founder’s living room, it is now 12 people strong with engineers, product developers, and operations enablers working with HR processes of organisations. The founder believed that in a world of automation the functions of HR are a bit outdated, and her idea was to fill this technological gap. They raised first round of funding in October 2017.

CustomerSuccessBox

An a B2B SaaS customer success platform backed with $1 million in venture funding, CustomerSuccessBox is aimed at delivering proactive customer success. As the startup believes, customer churn is the biggest blocker of growth and it’s like trying to fill up a leaky bucket. Such businesses cannot continue to operate with the old reactive support model, this is where CSB comes into picture.

As customer success is greatly enhanced by using AI and ML to understand customer on-boarding, product adoption and usage analysis, and calculating customer health score, CSB uses it extensively to facilitate the same. They processes millions of activities from 1,00,000 plus end users every week and its patent pending technology is built to handle over 2,200 events per second to monitor customer account health. It is being used by global clients like XebiaLabs, WizIQ, Synup and WoowUp to deliver consistent on-boarding experience.

The Founding Team: It was founded by Puneet Kataria (CEO) and Amritpal Singh (CTO) and they have raised a pre Series A of $1 million led by pi Ventures with participation from Axilor Ventures. While Puneet was working as a VP of Sales at a SaaS company, he learnt that the secret of growth for a SaaS business is to keep and grow recurring revenue. This is when CSB was born, which is not just a technology platform but a way of running SaaS business. The startup aims to double its employee strength in the next couple of months.

Discovery AI

Founded towards the end of 2016, DiscoveryAI Platform enables conversational AI led Customer Success for any enterprise application. The founders believe that context-sensitive customer success is nearly missing in all comprehensive websites and apps used within enterprises. Businesses invest a lot of resources in creating and deploying these digital tools for various customer and employee facing processes. Discovery AI attempts to solve these problems are intrusive and raw in nature. They believe that availability of data and AI can fundamentally change the way we interact with the business systems.

The Founding Team: It is founded by Prasanna, Sameer Acharya and Shubham Deshmukh.  The trio were always intrigued by the fact that enterprise systems are not able to keep pace with the consumer-facing technologies and seamless user experience had to be brought. Currently a bootstrapped startup, they are looking to raise formal seed round in the next three to six months time.

My Ally

Originally named Skedool.it, My Ally aims to help the HR department be more strategic than tactical. When dealing with people it is critical to reduce the manual processes and automate the mundane and repetitive tasks. My Ally’s AI-powered assistant uses NLP and ML to automate interview coordination activities for the recruiters. The AI-powered recruitment coordinator improves time-to-offer, increases conversion rate, and optimises candidate experience by fully automating the scheduling and rescheduling of interviews with better-than-human speed and accuracy. My Ally solution presents a nearly immediate ROI for organisations both large and small who are looking to reduce time-to-fill and boost candidate conversion rate. They work with clients such as Cisco, Riot Games and Expedia, among others.

The Founding Team: It was founded in 2015 by Deepti Yanireddy and Naveen Varma Alluri who were friends since IIT Madras days. The idea of launching My Ally originated during Deepti’s previous role of working as an investor. She realised that over 5-10 hours a week of her time was consumed in scheduling activities and so was the case with Naveen in his previous roles at Qualcomm and Samsung. Soon, after they launched Alex, My Ally’s AI-powered assistant, they realised the solution resonates better with recruiting professionals.

With offices in the Bay Area and Los Angeles, they have 50 people managing product development, operations, customer success, marketing functions and much more. Including people in the US, the team size is 60. The startup is backed by Kludein LLC and an investor group including Phanindra Sama (redBus founder), Narayan Ramachandran (former country head of Morgan Stanley, India) and Pranav Pai, investing on behalf of Mohandas Pai among others.

Niramai

This Bengaluru-based deep tech startup provides breast cancer screening solution using AI. It is a non-contact, non-invasive, radiation-free method of detecting early stage breast cancer in women of all age groups. The core technology by the company called Thermalytix is a fusion of sophisticated ML algorithms over thermal images. The patented algorithms automate the process of analysing the 400,000 temperature values measured per person. Unique thermal patterns and image characteristics that are typically used by medical professionals while detecting cancer in other modalities like XRay or Ultrasound are also used to make the report accurate as well as understandable by the radiologist.

The Founding Team: It was founded by Geetha Manjunatha (CEO) and Nidhi Mathur (COO), after they saw their loved ones suffering with cancer in their family and felt deeply about solving this problem. This led to the creation of NIRAMAI, which in Sanskrit means being without diseases. It also expands to “Non-Invasive Risk Assessment through Machine Intelligence”.

Rockmetric

Rockmetric is a ‘Cognitive Data Analyst’ that delivers on-demand analysis and relevant insights through a Google-like Natural Language Search interface. It deliveries sophisticated analysis and ad-hoc queries at a scale instantly without having to expand reporting and analytics teams. It automatically understands user queries, analyses data and delivers beautiful charts, descriptive insights and complex analysis instantly. The platform builds an intelligence layer for decision makers and provides them with target-gap analysis, spike and dip analysis, business reviews and routine analysis to monitor their business and teams to scale. These insights are securely delivered with role-based access across channels like web, mobile, email, voice and other communication platforms.

The Founding Team: It was founded in 2015, with an idea to create a simple Google-like engine for data and insights. Rockmetric aims to be the most intuitive intelligence layer for business leaders to monitor their businesses and teams. It was founded by Nimesh Mehta, who has consulted with organisations like The World Bank and National Skills Development Corporation. With an MBA from the Indian School of Business, he started his career as a management consultant with Deloitte in India. The startup has an employee strength of six and are currently bootstrapped. It is also a part of Zone Startups India.

Supertext AI

At  Supertext.ai, they believe that communicating with a business or service can be and should be as easy as chatting with a friend — personalised, contextual and fun. Therefore they primarily focus to offer their clients the ability to integrate and add conversational intelligence to answer queries and build persona based virtual agents for Internal business processs automation and Automated front desk customer engagement . The chatbots are designed and developed on their custom AI platform with real-time data analytics, where they have the ability to create and pass tickets via ITSM to support team, have full visibility on bot responses, NLP (natural language processing) training and user interaction history.

They build fully automated website chatbots, mobile chat applications and RPA( Robotic process automation) tools for internal business processess for clients across e-commerce, travel, media and fintech. Flipkart, ESPN and MSIG insurance are some of their clients.

The Founding Team: It was founded in December 2015 by Avinash Hegde (director), Mathew J Padayatty (director) and Kamalkamman J. The founders realised that though local vendors were building entire businesses by merely chatting with their potential customers over WhatsApp or Facebook Messenger but struggled to scale as they were unable to continue servicing them or build required internal business processes. They wanted to try and solve this by automating business processes at a scale using forward-leaning technologies like Natural language processing and ML. They raised an angel funding from investors in Bengaluru and Singapore.

ten3T

The startup develops medical grade wearable with connected vitals monitoring platform and proprietary health analytics to enable predictive, proactive, and effective clinical decisions. It was founded with a clear vision to address the gap of patient monitoring outside ICU environments — such as responding to early warning signs of deterioration to reduce mortality. ten3T’s Cicer vitals monitoring platform monitors in real time to save lives. The Cicer patch has no lead wires, no disposable electrodes, does not require skin preparation, requires no specialised training, and can be applied as easily as a Band-Aid. An expanding suite of proprietary algorithms look for early signs of deterioration and detect specific clinical conditions, such as respiratory distress, heart rate variability, atrial fibrillation, and patient falls. An easy to interpret colour coded Early Warning Score (EWS) correlates vital signs and provides timely alerts to caregivers. An AI-based system also identifies subtle changes in longer term trends of patient vitals to enable predictive diagnostics. ten3T has commercialised a patent pending vitals monitoring system that is in use at multiple hospitals across Bengaluru.

The Founding Team: It was founded in 2014 by a physician and two biomedical engineers with vast and varied experiences in the healthcare industry. The founders are Rahul Shingrani, a biomedical engineer who has worked for over 15 years in the US and India, Dr Sudhir Borgonha, MD, and Prasad Bhat, a biomedical engineer with significant leadership experience in developing and certifying medical devices. With a team of eight, their vision has been to save numerous lives by bringing advanced, predictive AI into the healthcare system. The founders have invested personal funds of $100,000 prior to raising a round of $250,000 from a group of investors in December 2016 that was led by pi Ventures.

The post 10 Indian Startups That Are Leading The AI Race: 2018 appeared first on Analytics India Magazine.

As people are connecting with each other in cyberspace, we are increasingly becoming vulnerable to data threats. Predictive algorithms and big data foretelling the actions of users better than humans is a reality now. These algorithms are also being used to monitor and influence our behaviour.

The recent Facebook-Cambridge Analytica data breach scandal has made us realise that we are unaware about how companies use personal data surreptitiously for purposes which none of us have signed up for.

Today companies use AI for numerous task. There are vast datasets constantly being added to, which are frequently made up of personal data. Apart from basic user information and demographics, organisations — both private and public — may have access to huge quantities of personal and sensitive information. And individuals have little or no control over the data which is stored about them and how it is used.

Companies start by collecting data which you entrust them with, then they collect data from your daily use of communication networks. They can also buy data about your education, ethnicity and job history or fish for information about the topics you talk about online. These online players are largely self-regulated by their terms of service and privacy policies, which are designed to make users give consent to the usage of their data as these companies wish.

About The Survey

Analytics India Magazine conducted an online survey this May about privacy concerns regarding data. Our objective was to understand users’ attitude towards data privacy and the awareness level for the same in daily scenarios. We asked millennials and people from various backgrounds – freshers, professionals and decision-makers – about policies of websites, the sale of data to third parties, and trust issues regarding the same.

The responses we gathered were insightful, yet not unexpected — most users who use internet intensively do not read the privacy policies before they ‘agree’ or ‘disagree’ to any web portal’s terms. They are more protective about their banking data, passwords and government-authorised documents. More than 50 percent respondents admitted to falsifying personal information to get around the process.

How Browsing Habits Affect Data Pilferage:

• Selling Data To Third Parties: 79% of the respondents said they were not comfortable with their data being sold to third parties, even in exchange for the speed, convenience, product range, home delivery and price comparison that online shopping offers.

• Terms & Conditions: 77% respondents said that they did not read privacy policies of web portals. Only 23% people claimed that they read the T&C quite carefully before agreeing or disagreeing to the terms.

• Incognito Mode: To keep web browsing activities private 66% respondents claimed they sometimes surf the web in private window. 24.7% admitted that they do not use incognito window. Only 9.4% respondents said they always view pages in incognito tabs.

How Users Get Around The System:

• Wary Of Giving Out Real Data: Many users have now become aware of the data collection behaviour of websites. 54.1% of the respondents admitted to falsifying personal data for signing up for products and services online.

• 49% said they have falsified mobile number and 40% falsified address. Surprisingly, most of them are millennials (31.7%) who falsified their mobile number, email address and address.
• Not many people falsify their education and gender, only 15.9% people said they falsified their education and 9.8% said they falsified gender.

Why To Give Out False Information:

• Avoiding Spam: 28.4% of respondents who falsified data did so to avoid unsolicited communication
• Privacy: 7% people want to avoid handing data over to companies who have been selling or marketing data without their consent. 14% of respondents did so to limit the amount of personal information they put online or share with companies.
• Security: 10% of the respondents falsified information due to security concerns.

Data Which Respondents Feel Most Protective About

• 92% people listed banking data as the top concern.
• 79% respondents listed password and 66 percent people listed government authorised documents like PAN, Aadhar etc as areas of concern
• 52% people claim they feel protective about their location data
• About 48% respondents feel protective about their phone numbers.

Trust-Factor Of Respondents Across Various Channels

Methodology

We asked respondents to rank – banks, government departments, e-commerce companies, social media platforms, online streaming companies and search websites – on a scale of 1-10, with 1 to 4 is totally trustworthy, 5 & 6 is neutral and 7 to 10 is not trustworthy.

50.6% of the respondents said they trust banks most with their personal data — more than the government, e-commerce companies, social media websites or online media companies.

• Breaking it down further, 51.8% millennials and 68% decision-makers trust banks with their data. However, 46.1% professionals said they do not trust banks with their personal data.

• Overall, 33% respondents said they trust government departments with their data. 27% are neutral and 40% of respondents admitted that they do not trust them with their data.

• However, 40.7% millennials are still comfortable in sharing their data with government departments. 55.5% of freshers claimed that they do not trust the government.

• On the e-commerce front, 42.4% respondents said that they do not trust e-tailers. 28.2% gave a neutral response. Only 29.4% respondents believed that they can trust e-commerce firms with their personal data.

• Surprisingly, 55.5% freshers admitted that they can trust them with their personal data.

• After the data breach fiasco, 56.6% believe that social media is not safe when it comes to data sharing. And 24.8% said they can still trust social media platforms.

• Breaking down the numbers further, 59.2% millennials claim that they limit the amount of personal information they put on social media platforms. 72.7% decision-makers and 46.1% professionals said they do not trust social media either. However, 44.4% freshers still feel social media companies are safe.  

• But when it comes to providing personal information, the majority (84%) said they can trust government over social media. Only 16% respondents still think that social media is more secure than the government portals.

• The rise of online streaming websites like Netflix, Hotstar and Amazon Prime have dramatically altered the media habits of urban youth but when it comes to data sharing, 53% people said they cannot trust online streaming websites with their personal information.

• Interestingly, most of them are millennials. About 70% claimed that online streaming companies are not safe.

• Search engines have become a necessary part of our lives, but every time you type a query on Google, Yahoo or Bing, you reveal a tremendous amount of personal information that is valuable to the marketers, governments, cybercriminals and all of them love to use your data for their gain. Surprisingly, for 25.9% respondents search engines are safe. However, 58.9% respondent in the survey feels their personal data is vulnerable on the search websites.

• If we further break the number down, we can see that 63% decision-makers do not trust search websites. 66% millennials and 53.8% professionals believe the same. However, 44.4% freshers said they can trust search websites with their data.

• 67% respondents claimed that they would boycott a company which repeatedly demonstrated that it had no regard for protecting customer data.

Who Would You Blame If Personal Data Is Compromised?

• Interestingly, if personal data is compromised, 40% respondent said they would blame social media and 33% would blame themselves over hackers and banks.

Findings

Data protection and privacy are major concerns of the millennial generation, as demonstrated in this survey. They are protective about their financial data and security information, but not many read the basic privacy policies before clicking on the ‘I agree to the terms and condition’ button. Personal data should not be trusted in the hands of third-parties, where they love to use your data for their own gain and sometimes tend to misuse it. Users must not just give away their data, they should own and control their data without compromising security or limiting authorities and companies ability to provide personalised services to them.

Legislation

Every major country like US, China, Australia and UK, among others have some form of legislation in place. This month, the new General Data Protection Regulation (GDPR) goes in to effect today, focusing on how companies should design their data privacy and protection and adding digital rights for European citizens. It will lay down a new set of rules regarding the processing of personal data and with regards to the free movement of this data. The new set of rules also aim to ensure a high-level of data protection. And when it comes to data breach, GDPR says that organisations will need to inform regulators within 72 hours. The new rules will give EU citizens more control over their data, but it also has implications beyond EU.

Conclusion

This may force India to follow European lead in regulating online service provider. Currently, data protection laws in India are too narrow. The IT Act, 2000 do not address the need for a stringent data protection law being in place. It only contains a provision regarding cyber and related IT laws in India, and delineates the scope of access that a party may have. The IT Act and the Personal Data Protection Bill, which were introduced in Parliament in 2006, are yet to see the light of day.

The post Annual Consumer Survey On Data Privacy In India 2018 appeared first on Analytics India Magazine.

Analytics jobs scenario in India is constantly evolving. Companies are looking to hire professionals who are well-versed with new tech concepts such as analytics, big data, data science, artificial intelligence and machine learning, among others. While there may be a huge variation in the skills sets, experience and education requirement for these professionals across various cities and industries, there is a constant rise in the overall demand for analytics professionals with new jobs being posted each day.

This year’s Analytics And Data Science Jobs Study is brought to you in association with Edvancer, one of India’s leading data science skills training institute which offers a wide range of data science training programs for individuals and corporates.

The study takes into consideration various aspects of the job scenario for analytics professionals in India across industries such as retail, telecom and e-commerce, among others. The study also takes a look at various hiring trends over the years, jobs profiles, company types, experience required, educational background, etc.

Read our last year’s study here. 

Top Trends In Analytics jobs

• The number of new analytics jobs advertised per month increased by almost 76% from April 2017 to April 2018.
• The number of new analytics jobs increased by 52% from April 2015 to April 2016, and by 40% from April 2014 to April 2015. It had almost doubled from April 2016 to April 2017.
• We saw a brief dip in the job requirements from August to September 2017. Post that, the number of analytics jobs advertised have been on a constant rise.
• While, it is difficult to ascertain the exact number of open analytics job openings; according to our estimates, close to 78,000 positions related to analytics are currently available to be filled in India. Open analytics jobs is a different metric than new jobs advertised per month.
• This is almost 57% jump in the open job requirements, compared to the same time a year back.
• Compared to worldwide estimates, India contributes 10% of open job openings currently. Growth in the number of data science jobs globally was much higher than India.
• Last year India contributed 12% of worldwide open job requirements which has decreased to 10% this year.
• 10 leading organisations with the most number of analytics openings this year are – JPMorgan, Accenture, Microsoft, Adobe, Flipkart, AIG, Ernst & Young, Wipro, Vodafone & Deloitte.
• Almost 98% of analytics jobs advertised in India are of full-time basis. Just 2% form the part-time, internship or contractual jobs.
• Top designations advertised are: Analytics Manager, Business Analyst, Research Analyst, Data Analyst, SAS Analyst, Analytics Consultant & Statistical Analyst, Data Scientist.

Analytics Jobs By Cities

• In terms of cities, Bengaluru accounts for around 27% of analytics jobs in India. This is an increase from 25% a year ago.
• Delhi/ NCR comes second contributing 21% analytics jobs in India, down slightly from 22% a year ago.
• Approximately 12% of analytics jobs are from Mumbai. This is significantly down from 17%, last year.
• The contribution of Tier-B cities in analytics jobs continues to increase this year, from 5% in 2016 to 7% in 2017 to 14% this year due to the increased number of start-ups operating in Tier 2 cities.

Analytics Jobs By Industry

• Banking & financial sector continues to be the biggest influencer in analytics job market. 41% of all jobs posted for analytics were from the banking sector. This is a decrease from 46% a year ago.
• E-commerce continues to dip in terms of analytics jobs this year. Just 8% of analytics jobs were in ecommerce sector as opposed to 10% in 2017 and 14% in 2016.
• Energy & utilities sector seems to have the highest uptick in analytics jobs this year, contributing to 15% of all analytics jobs as opposed to 11% a year ago. The sector has been traditionally a late adopter of analytics.

Education Requirement By Analytics Jobs

• Almost 48% of analytics job openings are looking for a B.E./ B.Tech graduate degree in the incumbent.
• 18% analytics job openings are looking for a postgraduate degree which are not MBA or M.Tech. This is a decrease from 26% a year ago.
• 8% analytics jobs specifically require an MBA/PGDM degree.
• Just 13% recruiters are looking specifically for graduates with non-BE/ non-B. Tech degrees, up from 10% last year.

Experience Requirement By Analytics Jobs

• Around 62% of analytics requirements are looking for candidates with less than 5 years of experience.
• 17% analytics jobs are for freshers.
• 38% analytics job openings are for professionals with more than 5 years of job experience.

Analytics Jobs Across Tools

• Recruiters are increasingly moving away from technology and tools-based recruiting to skills-based recruitment. More broadly, there has been significant decrease in the jobs advertised for a specific tool.
• Analytics recruiters are becoming aware that unlike IT, analytics requires a combination of skills, and tools are just one aspect of it.
• The demand for Python professionals is the highest among all analytics recruiters. Almost 39% of all advertised analytics jobs in India demand for Python as a core skill.
• Python also saw the biggest jump in analytics requirements this year, replacing R as the most in-demand analytics tool.
• R skills comes second, at 25% of all analytics jobs looking for R professionals. This is decrease from last year of 36%.
• Among visualisation tools, Tableau skills are most in-demand.

Analytics Jobs By Salaries

• The median salaries being offered by advertised analytics jobs in India is INR 10.8 Lakh per annum.
• Advertised salaries tend to be lower than actual salaries. We have earlier reported the median salaries of analytics professionals in India to be INR 12.7 Lakh.
• 27% of all analytics jobs offer a salary range of 6-10 Lakh, followed by 23% for 3-6 Lakh.
• Almost 38% of all advertised analytics jobs in India are offering a salary of more than 10 Lakh.

Analytics Jobs Across Company Type

• Almost 41% of all analytics demand is with Captive centres/ GIC’s in India. These are organisations that mostly utilise analytics for internal consumption (for primarily their global businesses).
• This is down from 56% a year back.
• Service providers (both domestic & MNC’s) saw an uptick in the analytics jobs requirements this year.
• Almost 24% of all analytics jobs advertised are by MNC IT & KPO service providers, up from 18% a year ago.
• 21% of all analytics jobs advertised are by Domestic IT & KPO service providers, up from 15% a year ago.
• 9% of analytics jobs advertised are by Indian companies that require analytics for internal consumption. This is a very healthy number signifying growing adoption of analytics and data science with Indian organisations.

Read the Entire Study:

Download the complete Report

The post Study: Analytics And Data Science Jobs In India 2018 – By Edvancer & AIM appeared first on Analytics India Magazine.

The data analytics market in India is growing at a fast pace, with companies and startups offering analytics services and products catering to various industries. Different sectors have seen different penetration and adoption of analytics, and so is the revenue generation from these sectors.

The Analytics and Data Science Industry Study 2018 takes into account various trends that analytics industry in India is witnessing, revenue generated through various geographies, analytics market size by sector, across cities etc. It also takes into consideration analytics professionals in India across work experience and education.

This year’s study is brought to you in association with AnalytixLabs, a pioneer and one of the first analytics training institutes in India. The study is a result of extensive primary and secondary research conducted over a duration of two months, where we got in touch with analytics companies and professionals across various industries such as banking, finance, ecommerce, retail, pharma, healthcare and others.

Read last year’s study here. 

Key Trends

• Analytics, data science and big data industry in India is currently estimated to be $2.71 billion annually in revenues, growing at a healthy rate of 33.5% CAGR.
• Of the annual inflow to analytics industry, almost 11% can be attributed to advanced analytics, predictive modelling and data science.
• A sizeable 22% can be attributed to big data.
• Analytics, data science and big data industry in India is expected to grow seven times in the next seven years. It is estimated to become a 20-billion dollar industry in India by 2025.

Geographies Served

• In terms of geographies served, almost 64% of analytics revenues in India come from analytics exports to USA. Indian analytics industry currently service almost $1.7 billion in revenue to USA firms.
• The analytics revenue from USA increased by 45% year-on-year.
• UK comes on a distant second at 9.6% of the revenues.
• Analytics revenue from these countries more than doubled from last year – Romania, UAE, Belgium, Poland, New Zealand & Spain. Overall the revenues generated from these countries is quite minuscule when compared to USA.
• Indian domestic market serves as a significant market, with almost 4.7% of analytics revenues coming for Indian firms.

Sector Type

• In terms of Sector type, finance & banking continues to be the largest sector being served by analytics in India. Overall, 38% or $1 billion in revenues to analytics industry in India comes from finance & banking.
• Marketing & advertising comes second at 24%, followed by e-commerce sector generating 15% of analytics revenues in India.
• In comparison to the last year, travel & hospitality saw the biggest jump in analytics revenues, from $34 millions to $54 millions, a jump of 61%.
• Pharma & healthcare saw a jump of almost 50% vis-à-vis last year.
• Finance & banking saw an increase of 31% vis-à-vis last year.

Analytics Industry By Cities

• 28% or $ 759 million in market size for analytics industry comes from Delhi and NCR region. This is closely followed by Bengaluru at 27%.
• The highest increase in year-on-year analytics revenues for an Indian city comes from Bengaluru, from $539 million in 2017 to $ 739 million this year; an increase of 37%.

Analytics Professionals In India

Work Experience

• The average work experience of analytics professionals in India is 7.9 years; up from 7.7 years from last year.
• Around 16,000 freshers were added to analytics workforce in India this year; up from 12,000 freshers last year. Fresher hiring has increased by 33%.
• Almost 40% analytics professionals in India have a work experience of less than five years, which is down from 42% last year.
• Analytics professionals with more than 10 years experience increased by more than 28,000.

Education

• Top 10 universities and schools that analytics professionals in India graduate from are: Delhi University, University of Mumbai, Pune University, Anna University, Indian Institute of Management, Calcutta, Indian Institute of Management Bangalore, Uttar Pradesh Technical University, Indian School of Business, SVKM’s Narsee Monjee Institute of Management Studies, University of Calcutta
• Almost 16% of analytics professionals in India graduate from these 10 universities and schools.
• 57% of analytics professionals have a Master’s/ Post Graduation degree, which is same as last year.
• The graduate vs. post graduate analytics professionals in India is almost a ratio of 2:3. For every two graduate analytics professional in India there are three professionals with post graduate degree.
• 2.5% of analytics professionals in India hold a PhD or Doctorate degree, which is down from a year back.
• Women participation in analytics workforce remains low – only 25% of analytics professionals in India are women.

Company Size

• Almost 40% of analytics professionals in India are employed with large-sized companies, i.e. with an employee base of more than 10K.
• Mid-size organisations (total employee base in a range of 200-10K) employ 32% of all analytics professionals in India.
• Startups (less than 200 employee base) employees 28% of analytics professionals in India.
• Startups have significant contribution to overall output of analytics in India. Even though small in absolute term, the overall impact is increasing significantly with small to mid-size organisations in India.

Read the complete report below:

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The post Analytics & Data Science Industry In India: Study 2018 – by AnalytixLabs & AIM appeared first on Analytics India Magazine.

Indian and multinational companies from almost every industry — be it Fortune 500 name or a local startup — are hiring data science experts to help them garner insights from big data. The entire industry has seen a sharp increase in demand for highly-skilled professionals. Companies are also on a constant lookout for talented persons who can fill the gap. Our survey for June 2018 endeavoured to find out the current scenario of hiring trends and jobs available in data science.

The data science sector is flourishing to such an extent that our earlier Jobs Survey published in association with Edvancer revealed that more than 90,000 job openings in data science and related fields are being advertised in India as of now.

About The Survey:

We tried to look at variations in skill sets, work experience and educational qualification in this survey. We took opinions from three groups of persons — hiring managers, job seekers and students — to get a thorough idea of the hiring scenario in this swiftly-developing area.

Our survey was met with much enthusiasm — and we got some great insights from it. Some of them were expected, and many of them were real eye-openers.

1. Importance Of Formal Education:

We asked our survey takers to tell us if a degree or formal education in data science was necessary to get a job in data science. The respondents clearly thought it was.

• 33% respondents thought that formal education was crucial to get a job in this sector. This is in keeping with the current trend in the industry.
• 28.3% respondents thought it was important as it can be clearly seen by the increasing reliance by employees as well as students on MOOCs to keep themselves updated.
• Only a minority of the respondents — 11% — thought formal education was completely unnecessary.

2. Programming Experience:

Our data clearly shows that a vast majority of the respondents think that experience in programming was important to get a data science-related job. In fact, the numbers show:

• 48% of the respondents think that prior experience was important to get a job in the new tech sector.
• 29% respondents thought that it was crucial for their career. This is in line with what the organisations have been thinking. Most of the companies in new tech think that educating an employee for a basic skill like programming can be time-consuming and a drain on resources.

3. Work Experience:

A clear majority of our respondents have shown that having an experience in a similar field is definitely helpful in landing a job in data science.

• For example, a clear 35.8% people have said that a job experience is crucial in data science sector.
• Another 26.2% have said that it is important. This is in keeping with studies which have shown that a majority of companies in the analytics and data science sector prefer candidates with five or more years of work experience.
• Only 2% of the survey takers did not agree with the statement.

4. Transition From Non-Data Science Background To New Tech:

This questions seemed to have stumped our respondents. Here, the answers seem of two polar opposite opinions. Firstly, almost 30% of the people did not have an opinion about the matter.

• Otherwise, 15.2% of the respondents thought it was very difficult to make the transition from a non-tech background to data science.
• 23.2% thought it was difficult, but not impossible to do so. This response is clearly not surprising, given the great pace at which the industry is progressing. It is already hard for people in the industry to keep up with changing trends, and therefore jumping into a vibrant sector suca as data science is perceived as very difficult.
• On the other hand, only 5.6% people thought it was very easy to do so.

5. How To Get An Entry-Level Job In Data Science:

This question had a clear-cut answer — perhaps because of the personal experiences of our respondents.

• 42.7% people thought that internship was the best way to make your way into a company. You make contacts, meet mentors and friends that last for a lifetime.
• 21.8% respondents voted joining data science communities or networking as the great way to get jobs.

6. What Language Should An Aspiring Data Scientist Learn First:

Having a mastery over one or more programming languages is considered a great asset in the data science and analytics community. Here, our respondents — job seekers as well as recruiters — had a clear idea about what languages were the most popular in the market right now.

• Python was clearly the most popular language for data science practitioners as well as learners. Over 47% respondents said that it was crucial for job seekers to know this language to get an opportunity in data science.
• The next favourite language was R at 39%

7. Top Skills For Data Scientists:

Our respondents identified three important skills for anyone to flourish in a data science-related field:

• Statistical modelling at 35%
• Machine learning at 28%
• Business intelligence at 17%
• Data mining came in next with 10% votes

8. Reliance On MOOCs For Skill Upgradation:

Professionals as well as students are now relying heavily on massive online open courses. Our survey clearly indicates that:

• 33% of the respondents relied on MOOCs extensively to upgrade their skills in new tech and keep themselves updated with emerging technologies.
• On the other hand, 28% used it frequently for the same purpose.
• Only 9% of the respondents said that they didn’t use MOOCs at all.

9. How To Find A Job In Data Science:

Here, the answers were unanimous, as well as expected.

• At 47.1% LinkedIn, the social networking website for professionals seems to be the first choice for looking for as well as posting a job in data science.
• The next popular way to find a job is checking with friends and acquaintances to look for employment opportunities at 19%.
• This is followed by popular job portal Naukri at 15.7%

10. Which City Has Most Job Opportunities For A Data Scientist:

This question had a congruent, solid vote for Bengaluru with 73% of respondents saying that the Garden City had the best job opportunities in new tech. The next favourite was Mumbai at 13.9%.

11. Which Industry Holds The Most Opportunities For Data Scientists:

Data scientists are in great demand, as discussed above. The results are thus scattered across several sectors.

• Most of the industries starting with IT and services at 26.8%
• Followed by e-commerce at 23.6%
• And banking at 23.6%

12. Area Of Interest For Data Scientists:

This survey also showcased that data scientists want to work in three key areas:

• Customer service at 37.2%
• Banking  at 32.2%
• Medicine 13.2%

The post Annual Survey On Data Science Recruitment In India 2018 appeared first on Analytics India Magazine.

While talent gap is a commonly-discussed challenge in the analytics industry, there are many institutes and academicians who are working tirelessly in making professionals and students industry-ready. Analytics India Magazine has compiled a list of 20 most prominent academicians in the industry who have contributed immensely in the analytics, artificial intelligence and data science education sector. The list has a mix of names from the academics, industry, PhDs, non-PhDs, part-time faculties and others, who are contributing towards enriching the analytics and data science sector.

The academicians are listed in alphabetical order. 

Read our earlier list here.

1| Abhinav Srivastava

Abhinav Srivastava comes with an extensive experience of working as a data analytics manager in multiple domains. With an integrated MSc course in Statistics and Informatics from IIT Kharagpur, has worked with analytics programming languages and dashboards such as Python, SAS, R, SQL, SPSS, Tableau and IMAKE, among others. He has worked with noted industry names such as Deutsche Bank, SCIO Health Analytics, Karvy Analytics and TCS, among others.

Noteworthy achievements by Abhinav Srivastava:

• Current Academic Position: Professor, IMS Proschool
• Prominent Credentials: Cleared CFA, felicitated with NCFM certificate (NSE, India) in Derivative Market Dealers Module, recipient of DAAD scholarship, (German Academic Exchange Service)
• Research Interests: Fraud analytics, healthcare analytics, stock market, churn analysis using machine learning. He had a white paper published on predictive analytics in IoT.

2| Arnab Laha

Arnab Laha has keen interest in understanding how analytics, ML and AI can be leveraged to solve complex problems of business and society. He has been featured in this list by AIM in 2014 and 2017. Prof. Laha is a firm believer in new tech and has affirmed that their rapid adoption would enable developing countries to solve challenges like poverty, malnutrition, providing quality and affordable healthcare, improving education and imparting skills, reducing crime etc.

Noteworthy achievements by Arnab Laha:

• Current Academic Position: Professor Production and Quantitative Methods (P&QM), Indian Institute Of  Management, Ahmedabad
• Prominent Credentials: He is currently a member of Governing Council of Insurance Information Bureau of India, member of the FICCI Healthcare Committee, Associate Editor of Statistical Analysis and Data Mining: The ASA Data Science Journal. He has authored a book on analytics How to Make the Right Decision, and is the editor of upcoming book volume Advances in Analytics and Applications to be published by Springer.
• Research Interest: He has published more than 25 papers in national and international reputed journals and has presented papers in more than 50 conferences held in India and abroad. His areas of research and teaching interest include advanced data analytics, quality management and risk modeling.
• Teaching Experience: He has been teaching analytics for about two decades, of which the last 15 years were at IIM Ahmedabad.
• PhD: He has PhD in Statistics from Indian Statistical Institute.

3| Arun Reddy

Arun Reddy is the senior faculty of data science at UpX Academy. He holds an MS from University of Cologne and an MBA from Darmstadt University, Germany. He now leads new product development in data science. He also has industry experience where he has been the project manager, product development consultant in companies like Tech Mahindra.

Noteworthy achievements by Arun Reddy:

• Current Academic Position: Product Manager, UpX Academy
• Prominent Credentials: Developing University collaborations (Top 100 ranking universities) in the US and EU, manage big data analytics and ML freelancing instructors hiring from leading companies involved in digital sales.

4| Bappaditya Mukhopadhyay

With an MA in Economics from Delhi School of Economics and PhD from ISI, Dr Mukhopadhyay is currently the professor and chairperson of the PGPBA program at Great Lakes Institute of Management. He is also the visiting professor of University of Ulm, Germany, and distinguished Professorial Associate, Decision Sciences and Modelling Program, Victoria University, Australia. He areas of interest and expertise include applied economic theory, game theory, analytics, statistics, econometrics, derivatives and financial risk management, survey design, execution, and others.

Noteworthy achievements by Bappaditya Mukhopadhyay:

• Current Academic Position: Professor of Finance at Great Lakes Institute of Management
• Prominent Credentials: He has various research papers published in national as well as international journals. He is currently working on a book titled Measuring and Managing Credit Risk. He has been the Managing Editor at Journal of Emerging Market Finance and Journal of Infrastructure and Development, member of Index Committee, member of Research Advisory Committee, Research Advisory Committee, NICR, Expert member in Faculty Selection committees at various Business schools, among others.
• Research Interest: Information economics and contract theory, financial risk management, credit risk and agency theory, microfinance institutions, financial Inclusion, analytics in public policy
• Teaching Experience: He has more than 20 years of teaching experience in economics, finance.

5| Chandrashekar Ramanathan

Professor Chandrashekar Ramanathan is a faculty member at IIIT-B since 2007. His primary focus area is software engineering, application development and databases. He has over 10 years of work experience in extensive application software development in large MNCs. His current focus is in the area of semi-structured databases and software engineering. Application architectures, enterprise content management and knowledge management are his other areas of interest.​

Noteworthy achievements by Chandrasekhar Ramanathan:

• Current Academic Position: Professor and Dean (Academics), IIIT-B and UpGrad
• Research Interest: Data sciences, software architecture and technology for education, semi-structured databases, software engineering, enterprise content management and knowledge management
• Teaching Experience: Over 20 years
• PhD: PhD from Mississippi State University

6| Dr Dakshinamurthy V Kolluru

One of India’s biggest names in AI, Dr Kolluru is sought after globally for his in-depth knowledge and expertise in analytics. His significant contribution in the areas of analytics training, consulting and research has received immense applause from several fortune companies around the globe. He is the founder, president and chief mentor of INSOFE. Before that, he founded Globarena (2000), a successful skills development company, where he was instrumental in building LMS driven by ML systems and AI. He has also worked as a scientist with Defence Metallurgical Research Laboratories, India and has been the Chief Research Officer with Prithvi Information Solutions, India.

Noteworthy achievements by Dr. Dakshinamurthy V Kolluru:

• Current Academic Position: Founder President and Chief Mentor, INSOFE
• Prominent Credentials: Binani Gold Medal for work under guidance of Dr APJ Abdul Kalam to indigenously develop Radome, a critical component for Agni Missile (ICBM), Recognised as one among the top 10 most prominent Analytics Academicians in India by AIM.
• Research Interest: ML, optimisation, artificial neural networks, deep learning, text mining, mathematical algorithms, and pattern extraction
• PhD: PhD in Material Science and Engineering from Carnegie Mellon University

7| Dipyaman Sanyal

Dipyaman Sanyal is the program director for the PG Program in Data Science and Machine Learning (PGPDM) offered jointly by the University of Chicago, IBM and Jigsaw Academy. Sanyal is the only academic to have led three top-ranked analytics programs in India — UChicago-IBM-Jigsaw, Northwestern-Bridge and IMT, Ghaziabad. While his research interest lies in fairly quantitative topics like decision science, bounded rationality and econophysics, he loves to simplify analytics teaching and has done so for dozens of corporations and the hundreds of students he has taught analytics. He has over 15 years of industry experience where he has worked for and consulted for world leading private equity and hedge funds, market research and consulting firms, traditional industries, non-profits and government agencies.

Noteworthy achievements by Dipyaman Sanyal:

• Current Academic Position: Faculty and Program Director, Jigsaw Academy
• Prominent Credentials: Chartered Financial Analyst (CFA) Charter Holder. Founder of dōnō consulting, a consultant data scientist to National Skill Development Corporation, co-founder of gharvalue.com and adjunct faculty at Northwestern University, Chicago for their MS in Data Science.
• Research Interest: Decision Science, Econophysics, Behavioral Economics
• Teaching Experience: Over six years
• PhD: PhD Candidate for Economics at Center for Economic Studies and Policy, Jawaharlal Nehru University

8| Dinesh Kumar

U Dinesh Kumar is a professor of Decision Sciences and Information Systems at IIM Bangalore and introduced Business Analytics elective course in 2008 to the PGP students at IIM Bangalore. He has worked with several reputed institutes across the world including Stevens Institute of Technology, US; University of Exeter, UK; University of Toronto, Canada; Federal Institute of Technology, Zurich, Switzerland; Queensland University of Technology, Australia; Australian National University, Australia and the Indian Institute of Management, Calcutta. He has published more than 60 research articles in leading academic journals. He conducts corporate training programme in analytics that has helped more than 1,000 professionals.

Noteworthy achievements by Dinesh Kumar:

• Current Academic Position: Professor, Decision Sciences and Information Systems,  IIM Bangalore
• Prominent Credentials: Authored a book titled, Business Analytics the Science of Data Driven Decision Making, has written more than 30 case studies on application of analytics by Indian MNCs. He is the governing council member of the Karnataka Government’s Centre of excellence for Data Science and Artificial Intelligence set up in Collaboration with NASSCOM. He has also developed analytics-based credit scoring system for rural bank funded by the Ministry of Electronics and Information Technology.
• Research Interest: Business analytics and big data, ML, deep learning algorithms, stochastic models (Reinforcement Learning Algorithms), optimisation, multi criteria decision making, six sigma, maintainability and maintenance, integrated logistic support and performance based logistics.
• Teaching Experience: He has been teaching analytics since 2008. He also started one of the oldest certificate programs in analytics in 2010 and introduced certificate program in big data analytics in 2015. He has also conducted training program on analytics for companies such as Accenture, Aditya Birla Group, Ashok Leyland, Bank of America, Blue Ocean Market Intelligence, Cisco and Fidelity.
• PhD: PhD in Mathematics from Indian Institute of Technology, Bombay

9| G Srinivasaraghavan

He has over 18 years of industry experience and is currently a partner at Performance Engineering Associates. He has also worked with Infosys and Aztecsoft before. At Infosys, he was responsible for the delivery of large, performance-critical IT systems for Fortune 500 clients in the telecom, BFSI and logistics spaces. In his previous position he was CTO at Aztecsoft Ltd (now a part of Mindtree Ltd.), where he brought about a radical, product-quality-focussed shift in the firm’s approach to quality assessment.​

Noteworthy achievements by G Srinivasaraghavan:

• Current Academic Position: Professor and Faculty-in-charge, IIIT-B and UpGrad
• Prominent Credentials- He has over a dozen published papers in several reputed international fora, including Journal of Algorithms, International Journal on Computational Geometry and Applications and Foundations of Software Technology and Theoretical Computer Science.
• Research Interest: Machine learning, optimisation, computational intelligence, algorithms and complexity
• Teaching Experience: He has been a guest faculty at IIIT Bangalore since 2011
• PhD: PhD from Indian Institute of Technology, Kanpur

10| Gaurav Vohra

He has over 18 years of experience in the field of analytics and has worked across multiple verticals including financial services, retail, FMCG, telecom, pharmaceuticals, and leisure industries. In his time as an academician, his focus has been on conveying the significance of analytics and related practices to a wider audience. He has created courses on analytics that have been taken by over 15,000 students across 20 countries. 

Vohra holds an MBA from the prestigious IIM Bangalore and started his career in analytics with Capital One. He has worked with the likes of C Penney, Gap, Walmart, IRI, 7-11, IMS health, and ICICI Lombard. He has also spoken at prestigious institutes such as IIM Bangalore, IIM Lucknow, IIM Udaipur, Great Lakes, and many more. He founded Jigsaw Academy in 2011 as an avenue to meet the growing demand for talent in the field of analytics by providing industry-relevant training and education to develop business-ready professionals.

Noteworthy achievements by Gaurav Vohra:

• Current Academic Position: CEO and co-founder, Jigsaw Academy
• Research Interest: The impact on learning outcomes with the advent of analytics
• Teaching Experience: Over 10 years

11| Manvender Singh

Manvender Singh is the founder and CEO of UpX Academy and founded it in 2016. He has an MBA from ISB, Hyderabad, and was awarded the prestigious ISB Torchbearer award. He has a Bachelor’s degree from NIT, Jamshedpur. Manvender’s core focus areas is helping professionals and organisations to understand how to leverage new tech to deliver business results.

Noteworthy achievements by Manvender Singh:

• Current Academic Position: Founder and CEO, UpX Academy
• Prominent Credentials: Founder and CEO of UpX Academy, co-founder Aristotle Prep, the first test prep brand out of India to have a global customer base with customers in 60+ countries, awarded the ISB Torchbearer Award.
• Area Of Interest: Entrepreneurship, consumer internet, e-commerce, technology and education. His strengths are around new venture creation, B2C product strategy, product development and customer acquisition, deal-making and negotiations.
• Teaching Experience: Over three years

12| PK Viswanathan

With a rich and varied experience across academia, research, industry, training and consulting, Dr PK Viswanathan, currently serves as a professor of analytics at Great Lakes Institute of Management. He teaches subjects such as business statistics, operations research, business analytics, predictive analytics, ML analytics, spreadsheet modelling and others. In the industrial tenure spanning over 15 years, he has held senior management positions in Ballarpur Industries (BILT) of the Thapar Group and the JK Industries of the JK Organisation. Apart from executing corporate consultancy assignments, Dr PK Viswanathan has also designed and conducted training programs for many leading organisations in India. He has degrees in MSc (Madras), MBA (FMS, Delhi), MS (Manitoba, Canada), PhD (Madras).

Noteworthy achievements by P.K Viswanathan:

• Current Academic Position: Professor of Analytics, Great Lakes Institute of Management
• Prominent Credentials: He has authored a total of four books, three of which are on Business Statistics and one on Marketing Research published by the British Open University Business School, UK.
• Research Interest: AI, ML, analytics
• Patents: He has original research publications exclusively on analytics where he has developed modelling and demonstrated their decision support capabilities. These are: Modelling Credit Default in Microfinance — An Indian Case Study, PK Viswanathan, SK Shanthi, Modelling Asset Allocation and Liability Composition for Indian Banks
• Teaching Experience: He has been teaching analytics for more than two decades but has been into active and intense teaching since analytics started witnessing a meteoric growth with the advent of R and Python.
• PhD: PhD in the application of Operations Research from Madras University

13| Prateek Agrawal

Prateek Agrawal is the ex-management consultant with Big five consulting firm. He comes with an industry experience of 12 years in areas like finance, hospitality, technology and others. With an MS in Info Systems and Operational Research (Texas), he has trained more than 5,000 professionals. An entrepreneur and investor, he has a keen interest in new business models where technology and data science plays a key role. He specialises in areas such as branding, identity, go-to market strategies, e-business models, among others.

Noteworthy achievements by Prateek Agrawal:

• Current Academic Position: Director, Ivy Professional School
• Research Interest: Big data analytics, e-business models
• Teaching Experience: More than 12 years

14| Dr Prithwis Mukerjee

With a BTech from IIT Kharagpur, MS and PhD from the University of Texas at Dallas, he has two decades of experience in IT, software and management consultancy businesses. He has worked with the likes of Tata Steel, Tata IBM and PwC. He has also been a full-time tenured professor at the Vinod Gupta School of Management. He pioneered the skills of RDBMS in Tata Steel, eBusiness and web-based technology at PwC, 3D virtual worlds at IBM and others.

Noteworthy achievements by Dr Prithwis Mukerjee:

• Current Academic Position: Program Director for the Business Analytics Programs at Praxis Business School
• Prominent Credentials: He has designed a unique curriculum for Praxis which stands on the three pillars of data science — maths, statistics and machine learning. It revolves around areas like R, Python, big data, NoSQL and functional domains such as marketing, finance and telecom. He also writes for a monthly technology-oriented column in Swarajya.
• Teaching Experience: He has more than 12 years of teaching experience
• PhD: PhD from The University of Texas at Dallas

15| RL Shankar

RL Shankar is a professor of finance and analytics with over ten years of experience teaching MBA students, PhD scholars and working executives. He has BTech from IIT Madras, MS in computational finance from Carnegie Mellon University, US, PhD in Finance, EdHEC (Singapore), and has trained over 2,000 executives from prestigious firms. With multiple research papers published under his name, he recently received a research grant from NYU Stern School of Business and NSE for original research on Low latency trading and co-movement of asset prices.

Noteworthy achievements by RL Shankar:

• Current Academic Position: Professor of Finance and Analytics, Great Lakes Institute of Management
• Prominent Credentials: He has been a visiting professor at IIM Kozhikode, IIM Trichy and IIM Ranchi. He is also a TEDx speaker.   
• Research Interest: Algorithmic trading, market microstructure, imperfections in derivatives markets and non-parametric risk measurement techniques
• Teaching Experience: More than 15 years
• PhD: PhD in Finance from EdHEC (Singapore)

16| Dr Ramesh Babu

With over 22 years of professional IT industry experience, in the role of senior leadership in global organisations, Dr Babu has been responsible for profitable growth in the data Science and digital products. He drives enterprise-wide capacity and capabilities programs, by leveraging technology, in the areas of data science and analytics, competency development, learning and assessments domain, applied research, and consulting. He has delivered solutions to clients in areas such as manufacturing, banking, insurance, financial services, and others.

Noteworthy achievements by Dr Ramesh Babu:

• Current Academic Position: Director and Head, Data Science and Digital Products at Manipal Prolearn
• Prominent Credentials: He is the director and head of data science and digital products at Manipal Prolearn and has 15 publications, both national and international, to his credits. He is also an international jury member of Corporate University Exchange awards and co-opted Member of IIIT Taskforce Chaired by Mohandas Pai.
• Research Interest: AI applications in business, higher education models, learning analytics
• Teaching Experience: More than 20 years.
• PhD: PhD from IIT Bombay in Computer Science and Engineering

17| Dr Reena Duggal

A visiting faculty at Ivy Professional School, Dr Duggal has 14 years of experience in the industry. An ex-Oracle consultant, she is an Oracle and Cognos certified professional with extensive industry experience of over 12 years working for international corporations in business intelligence domain. She has an expertise in areas such as statistical modelling, data mining techniques, and applying it in noisy, complex real-world data to identify business insights, especially in healthcare industry.

Noteworthy achievements by Dr Reena Duggal:

• Current Academic Position: Visiting faculty, Ivy Professional School
• Research Interest: Machine learning, text analytics, statistical analysis methods such as classification, association rules, regression, statistical inference, and validation methods
• PhD: She holds PhD in Information Technology

18| Dr Soumyakanti Chakraborty

With a BTech from Calcutta University and a fellow of IIM Calcutta, Dr Soumyakanti Chakraborty joined XLRI Information Systems Area in 2009. With a strong teaching experience in areas such as business modelling, strategies of information and network industries, he has provided corporate training to reputed organisations such as Viacom18, Madura Fabrics Limited, NHPC, NADP, WBSEDCL and others.

Noteworthy achievements by Dr Soumyakanti Chakraborty:

• Current Academic Position: Lecturer for XLRI’s Data Science Online Certification Program in collaboration with Talentedge.
• Research Interest:  economics of information industries, cloud pricing, two-sided platform businesses, combinatorial auctions, and algorithms.
• Teaching Experience: More than 20 years

19| Dr Subhabaha Pal

Dr Subhabaha Pal is a prominent academician and researcher in the field of analytics and data science, with books and research paper publications on the real-life data analysis of financial, insurance, stock-market and biological data in prominent journals. He currently teaches statistics, advanced machine learning, marketing analytics, SAS programming and application in business analytics in his current role at Manipal ProLearn.

Noteworthy achievements by Subabahah Pal:

• Current Academic Position: Senior Faculty, Data Science and Machine Learning, Manipal Global Data Academy of Data Science
• Prominent Credentials: Published 32 research papers in national and international refereed indexed journals, three book publications- two on statistics and one on quantitative techniques in project management. He also has 14+ years of freelance research experience in real-life data analytics. He has received the honour as the most supportive university mentor from the data science society, Sofia, Bulgaria.
• Research Interest: Time-series forecasting, ML, marketing analytics, experimental designs
• Teaching Experience: Over six years.
• PhD: PhD from University of Calcutta in non-life insurance analytics (management and commerce)

20| Suchit Majumdar

He is the chief data science evangelist at UpX Academy and an expert in data science and big data technologies. With an MBA from Indian School of Business, he has worked extensively for major companies, including investment banks. He has been a key driver of the Phase-I implementation of Smart City Projects by Andhra Pradesh government wherein he was driving surveillance and analytics implementation. Apart from teaching professionals data science, Majumdar regularly speaks at prestigious events. Over the last two years, his focus is on using data science and ML for automation and optimisation, and helping professionals and organisations get prepared for AI revolution.

Noteworthy achievements by Suchit Majumdar:

• Current Academic Position: Chief data science evangelist at UpX Academy
• Prominent Credentials: He is currently building products in the field of data science, business analytics, Tech-Ed and assisting top management in using advanced analytics to build core strategies around data. Coached more than 4,000 professionals in the space of Statistics, Analytics and Machine Learning.
• Research Interest: Product Analytics, data science, machine learning, business strategy, smart city, IoT, e-Learning, remote monitoring, e-surveillance, command Centers, product strategy, technology strategy, and others.

The post 20 Most Prominent Analytics & Data Science Academicians In India: 2018 appeared first on Analytics India Magazine.

Traditionally, robots have been configured to perform tasks by programming them explicitly. They have been taught the intricacies of how humans communicate so that they can respond accordingly. While this process is not only tedious, it has significantly high error rates too. Especially in areas involving safety-critical tasks, the accuracy of robots is of paramount importance. This brings the need to control robots in a quick and effective manner, and brainwaves are a way out.

MIT researchers are now working on reducing the errors and mistakes made by robots by supervising them with the help of the human brain and muscle activity. It would allow the system to detect in real-time if a person notices an error in the robot, and correct it immediately based on hand gestures.

The work has been reported in a paper by MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), which is led by PhD candidate Joseph DelPreto along with Daniela Rus, Andres F Salazar-Gomez, Stephanie Gil, Ramin M Hasani, and Boston University Professor Frank H Guenther.

A Continuation Of The Former Efforts

Traditionally, robotics required humans to think in a prescribed way so that computers could recognise them. But this training process was quite challenging, often resulting in errors. In an effort to make the experience more natural, MIT researchers had created a feedback system that could allow people to correct robot mistakes instantly, with nothing more than their brains.

They had used only EEG monitor to record the brain activity, where the system could detect if a person notices an error as the robot performs the task.

While this work yielded commendable results, it was focused on simple binary-choice activities and system could not recognise secondary errors in the real-time.

What Are Researchers Doing Now?

To overcome the challenges in the previous model and expand the scope to multiple-choice tasks, researchers have advanced their working, where they are now also making use of EMG apart from EEG, the two bio-signals that denote electrical muscle and brain activity respectively.

In this experimental setup, where the autonomous robot performs a task, the human supervising it wore an EEG cap and EMG electrode while observing the task. As human mentally judges whether the robot is performing a correct task and uses gestures to correct the robot’s trajectory, when necessary. While an EEG classifier detects the presence of brain signals, EMG classifier analyses muscle activity to identify gestures.

“Once the robot reaches the selected target, either with or without intervention, it pauses briefly to indicate completion and then returns to its starting position. This concludes a single trial. The experiment had a total of 40 trials spread across 2 hours.

“This work combining EEG and EMG feedback enables natural human-robot interactions for a broader set of applications that we’ve been able to do before using only EEG feedback,” said CSAIL Director Daniela Rus. “By including muscle feedback, we can use gestures to command the robot spatially, with much more nuance and specificity.”

While EEG signals alone cannot always be reliably detectable, EMG signals can sometimes be difficult to map motions that are any more specific than “move left or right.” Merging the two, however, allows a more robust bio-sensing, generating effective results.

“What’s great about this approach is that there’s no need to train users to think in a prescribed way,” says DelPreto. “The machine adapts to you, and not the other way around.”

For the project the team used “Baxter,” a humanoid robot from Rethink Robotics.

The Way Ahead

As the paper reports, there was an average of 156 trials per experiment with a success rate of more than 90 percent. It suggested that while the robot randomly chose the correct target in 69.5 percent of the trials, but after EEG and EMG controls were applied, it chose the correct target in 97.3 percent of the trials.

The paper says:

“In most cases, the optimal number of gestures required was also detected by the system even though the subjects were not instructed to minimize gestures. The few cases in which the final target was incorrect were typically due to no gesture being detected.”

The experiment has so far been successful, as the system also works on people it has never seen before, suggesting that there is no need to train it on each user and can hence be deployed in a real-world setting in a hassle-free manner.  

The team hopes to see the system being useful one day for the elderly, or workers with language disorders or limited mobility. As this experiment gives a hope to overcome the constraints of machines, it also allows for a more intuitive human-robot interaction in the coming future.

The post Can Robots Be Controlled By Brainwaves? These Researchers Are Up For The Game. appeared first on Analytics India Magazine.

Analytics is permeating our lives in larger ways than we can think. With most companies turning to data companies, the demand for tools and resources that can make sense of the piling data has increased many folds. Hence enter our innovative startups, that are gracing various sections of industry, be it agritech, supply chain, manufacturing and others, offering analytics and enterprise AI based solutions, to meet their needs.

Listing 10 such emerging analytics startups in India, we bring a comprehensive list of startups that are offering exceptional solutions to the data driven organisations. It presents a detailed picture of the startups in terms of its founding team, solutions they offer, growth story, employee strength, funding and others. Here’s the list in alphabetical order.

Read our last year’s list here.

1. Analytic edge, Founded 2012

The team: Founded by Santosh Nair, Vijay Ramaswamy and Rahul Budhraja. With 75+ years combined experience in marketing analytics and consulting, they have worked with companies across the globe in multiple verticals.

Funding: They have not yet sought funding but plan to do so for growth capital.

The company and its analytics solutions: It provides technology-enabled analytics solutions in marketing & sales effectiveness, integrating technology, industry knowledge and machine learning analytics to deliver actionable, scalable, cost-efficient and real-time marketing insights.

Their key analytics solutions are marketing mix modelling, digital attribution, pricing & promotion strategy, sales forecasting and customer loyalty analytics.

Employee strength: 40

The differentiation factor: Their key differentiator lies in the fact that they offer “technology-enabled” analytics solutions that are not “black boxes”. They have developed an end-to-end, cloud-based platform that clients can leverage for all the phases of a marketing mix modelling project. The platform coupled with automated data ingestion enables the clients to continuously measure the effectiveness of their marketing activities and provides insights that are real-time and actionable. It also allows them to scale the analytics, cost-efficiently.

The growth story: They have grown rapidly over the last couple years on the strength of their marketing analytics products. Today, they support several Fortune 500 clients globally with marketing analytics.

2. CropIn, Founded 2010

The team: Founded by Krishna Kumar (CEO), Kunal Prasad (COO), Chittaranjan Jena (CTO). The founders have years of experience in the technology and management arena, and have had illustrious career in the corporate world.

Funding: CropIn has raised a funding of 4 million USD till date. Their institutional investment partners are BEENEXT, Ankur Capital, BSP Fund LLC.

The company and its analytics solutions: Cropin is a leading agri-tech company based in Bangalore that provides SaaS based services to agribusinesses globally. The idea of founding it came to Krishna Kumar after observing the agrarian crisis in the rural areas of Karnataka in 2010. As the farmers were dealing with non availability of finance, climatic vagaries, pest infestation and diseases, he took a resolution on doing his bit to prevent farmers’ misery. Thus came Cropin that enables its clients to analyse & interpret data and derive real time actionable insights on standing crop and projects spanning geographies, by harnessing cutting edge technologies like big data analytics, artificial intelligence, geo-tagging and satellite monitoring.

It offers solutions such as:

• SmartFarm, a flexible farm management solution enabling complete digitisation of farms and empowering data-driven decision-making.
• SmartRisk, an agri-business intelligence solution leveraging agri-alternate data and providing risk mitigation and forecasting for effective credit risk assessment, using proprietary machine learning algorithms.
• Mwarehouse, a comprehensive solution providing Farm to fork traceability & compliance, quality control and flexible inventory management.
• SmartSales, a comprehensive CRM & input channel management solution.
• AcreSquare, a unique farmer application that helps companies interact directly with their farmers, share content, educate them and provide consultation.

Employee strength: 90+

The differentiator factor: Some of the key features of Cropin’s solutions are AI and ML based proprietary algorithms, satellite monitoring, weather analytics for agri tech industry. It ensures 100% data security, complete traceability from farm to fork, risk mitigation, sales prediction and improvement, amongst others.  

The growth story: CropIn has so far digitised over 3 million acres of farmland, enriching the lives of 10,00,000 + farmers while working with 135+ clients. Its global clientele includes McCain, Syngenta, Ned Coffee, Mahindra, Mars, IDH, Marico, Tata, Godfrey Phillips, McCain, IFB Agro, ITC, ICICI Lombard, BigBasket, Welspun, World Bank and many more.The company has had a year-on-year revenue growth of 2x and crossing 3X growth this year.

3. GyanData, Founded 2011

The team: Founded by Prof. Shankar Narasimhan, Prof. Rengaswamy and Prof. Venkat Venkatasubramanian. They are experienced academicians from Indian Institute of Technology, Madras and Columbia University, who bring in a wealth of domain expertise and knowledge.

Funding: They have been bootstrapped till now with seed funding from founders, and are now reaching out to investors who can propel the business and help take it through the growth phase.

The company and its analytics solutions: With a mission to empower the business ecosystem of clients with value-added services using data analytics, they have worked in both continuous and discrete manufacturing domains offering a wide range of enterprise applications right from conceptualisation of an idea to offering a fully developed product. Their portfolio includes projects for the defence, pharma, chemical, finance, healthcare, sea navigation and CRM domains and was started with a vision to translate the founders’ experience in R&D and industrial consultancy in areas such as machine learning, artificial intelligence, first-principles modelling, fault diagnosis and process analytics to manufacturing practice.

Their key offerings are in manufacturing analytics (data pre-processing, predictive and prescriptive analytics, modelling and real time optimisation, preventive maintenance, smart manufacturing, IoT), supply chain solutions, text analytics, CRM analytics, financial analytics, image processing, healthcare analytics

Employee strength: 30

The differentiator factor: They use domain agnostic algorithms that can be deployed across multiple domains. Other differentiating factors are ability to work with manufacturing (dirty) data, use of open source tools and platforms that offer their clients cost advantage, a rich pool of highly talented resources drawn primarily from premier institutes, amongst others.

The growth story: As a start-up, they believe that they are moving from a solutions development and consolidation phase to a period of peak growth. Some of their clients include BHEL, BPCL, DRDO, Honeywell, Tata Steel, Dr.Reddy’s Lab, Mitsubishi Electric, Hinduja Tech, Pfizer etc.

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4. IQLECT, Founded 2012

The team: Founded by Sachin Sinha. He is also the author of BangDB – a key-store NoSQL DB. Prior to IQLECT Sachin has worked as CTO of Jabong, Co-founder & CTO of Limeroad and in engineering leadership roles at Microsoft and Amazon.

Funding: IQLECT has raised $3M in Seed funding round led by Exfinity Ventures.

The company and its analytics solutions: IQLECT provides platform for real-time big data analytics. In addition, there is an app store with ready-made solutions that can be deployed on the platform. With a focus on real-time and predictive analytics, the offering from IQLECT can be availed through SaaS or On-premises.

While working for the large corporations & startups alike, Sinha noticed that data volumes were increasing rapidly. In addition to that, the analysis of data is always done in isolation in terms of business operation. Each team used different tools for data extraction & analysis. This siloed approach of analysing data means that correlation of insights across departments and teams were always a major challenge. Not to forget, the data analysis process and collection of insights were done long after actionable opportunities were over. This gave birth to IQLECT, where the IQLECT platform can collect data from any different source and analyse them at one place in real-time.

Key analytics solutions offered by IQLECT can be categorised in three buckets.

• Clickstream/ E-commerce/ Web-analytics solutions
• Log parsing & analytics solutions
• Device/ Sensors/ application monitoring & analytics solutions

Employee strength: 15

The differentiator factor: They have following differentiators compared to the current market solutions: truly real time, avoids and breaks silos giving much lower latency and higher throughput, accelerated time to market, integrated ML and AI framework, cost optimisation and others.

The growth story: IQLECT offers its platform and solutions through two channels – SaaS & Enterprise. The SaaS growth has been at 20% MoM, and some its clients on the enterprise front include Accenture, CISCO, SAP and a few notable data centers.

5. Lymbyc, Founded 2012

The team: Founded by Satyakam Mohanty and Ashish Rishi. Mohanty aka Chief Light Bulb is a market researcher at heart. He is a MICA graduate who chooses to view the entire insights spectrum through a technology lens. Ashish Rishi aka The Touchstone has a craving for technology that is insatiable. With analytics journey across GE and HSBC, he is also a MICA graduate who is constantly striving to make all these ideas come alive.

Funding: Lymbyc has been bootstrapped from the beginning, with initial investments from the founding team. They are looking to raise growth capital soon to take Lymbyc to the rest of the world, starting with North America.

The company and its analytics solutions: Previously known as Ma Foi Analytics, the company was founded to build robust analytical products that melded advanced technology to strong data science foundations. It was conceptualised with a vision to empower business leaders at the point of decision making and to elevate analytics from just being a validation resource to an intervention mechanism with foresight. It is headquartered in Bangalore with clients across India, US, Singapore and in the Middle East.

It provides business leader an ultimate 24*7 available virtual data scientist—system that can take in queries in natural language and provide insightful answers at the point of decision making. Lymbyc aims to become the JARVIS (remember Ironman?) to the modern enterprise.

Their virtual data scientist is called Lymbyc, which is a license based product and the first two use cases lie in marketing research/ consumer insights and pharma & life sciences marketing. They are looking to add additional use cases this year, focused within sales, marketing and commercial functions.

Employee strength: 52

The differentiator factor: Lymbyc is world’s first integrated expert system, and have invented and patent applied for MIRA (Machine Intelligence for Research & Analytics), their own querying language, which enables to not only tag and identify the contextually relevant data items but also trigger the appropriate set of actions to convert them into insights in the same step. The startup believes that this is a generation ahead of any such solution world-wide.

The growth story: Lymbyc has grown from pillar to pillar in the last six years. They have been able to divert their profits towards product development and still maintain profitability. They have a 73%+ CAGR in revenue since inception, and their major clients are from Fortune 100 spanning industries across consumer technology, healthcare, pharma & e-commerce.

6. Razorthink, Founded 2015

The team: Gary Oliver (Chairman & CEO), Dr. Nandu Nandakumar (CTO), Murali Mahalingam (Chief Strategy Officer), Tom Drotleff (CFO), Harsha Nutalapati (GM India, SVP of Service & Support), Barbara Reichert (VP Marketing), Rupesh Rao (Head of Customer Success). They are passionate leaders with decades of experience in advanced enterprise analytics.

Funding: Razorthink is funded by individual angel investors. They did not disclose the amount of funding or investors.

The company and its analytics solutions: Razorthink Inc. is an Enterprise AI Systems company that powers organisations with deep learning intelligent systems. Razorthink BigBrain, a rapid AI system development platform, empowers AI teams to create purpose-built intelligent systems that solve complex business problems. It enables them to accelerate the creation of AI solutions through BigBrain’s unique combination of data science automation, dynamic learning models, deployment automation and built-in optimisation for high performance computing. Customer predictions, recommendations, intelligent process automation, fraud detection, risk management and AI-assisted customer service, are some areas it can be deployed.

The company believes that businesses in almost every industry find themselves at the risk of digital disruption. As organisations are re-thinking business strategies and looking to strengthen their competitive advantage, AI driven insights, decisions and processes have become more prominent. By applying AI to data science, the Razorthink BigBrain platform powers enterprises with Expert AIs that drive superior decisions, highly efficient processes and ideal outcomes.

Expert AIs are specifically formulated and continually optimised to solve business problems that contain complex data analysis. Expert AIs use the combined power of data science automation, machine learning, deep neural networks, anecdotal learning, automated feature recognition, embedded domain expertise and high performance computing to:

• Uncover insights never before possible
• Help businesses avoid blind spots
• Recommend actions that alter outcomes
• Dramatically increase efficiencies

Employee strength: 100 (across United States and India)

The differentiator factor: At Razorthink, they offer more than just a technology platform, as they have the expertise to help organisations solve business problems by applying AI to specific areas and processes within the organisation to impact outcomes. Unlike simple AI data modelling tools, Razorthink BigBrain supports the entire AI solution lifecycle, including data preparation, model building, model deployment and continuous optimisation. BigBrain also accelerates data modelling through a unique visual drag and drop model builder.

The growth story: When the team announced the Razorthink BigBrain platform on October 16, 2017, it was the first Deep Learning Data Science Automation Platform. Their customers include large banks, insurance companies and other financial services firms as well as telecoms in the U.S. and India.

7. The Math company, Founded 2016

The team: Founded by Sayandeb Banerjee, Aditya Kumbakonam and Anuj Krishna. With decades of analytical experience to deploy complex data driven solutions, they have built and scaled teams for Fortune 500 organisations across 10+ industries. During this journey, they have designed strong data science strategies, played lead roles in establishing successful hiring practices and training programs for over 3,000 data scientists.

Funding: They are currently a fully bootstrapped organisation.  

The company and its analytics solutions: TheMathCompany is in the business of transforming organisations and ensuring viable growth journeys that result in true measurable impact. They are dedicated to enable the way organisations define and execute their analytics strategy. Accounting for different maturity levels, they focus on building capability and providing execution support for clients by having adaptive engagement models.

With the growing demand for data driven decision making, organisations are starting to realise the value in establishing their own analytics capabilities. The co-founders realised there was a gap in the market in enabling companies to embark on this journey. Although there are some service providers that aid in components of the journey, no one was providing an end-to-end partnership to these enterprises. TheMathCompany was founded to help bridge this unfulfilled gap.

They engage in deep partnerships with customers to design the long-term analytics strategy as well as implement this mandate. They are dedicated to solve the most challenging problems end-to-end by leveraging years of domain expertise, design thinking, statistics, machine learning and visualisations. Throughout this process, the focus is on creating Centre of Excellence(s) to make these organisations self-sufficient in analytics.

Employee strength: 50+

The differentiator factor: Currently, there are multiple service providers, consultants and platform-based enablers in the market. However, TheMathCompany is not just another analytics service provider, as they take pride in being the only organisation to provide all these services end-to-end, addressing the analytical needs of enterprises holistically.

The growth story: In their short journey, they have seen a steady growth both in terms of revenue and clientele. We have been fortunate to work with 15+ Fortune 500 clients across 4 continents. This includes one of the top 3 retailers in the world, the world’s largest alcoholic beverages company and one of the largest insurance providers in the US and Australia.

8. Tredence, Founded 2012

The team: Founded by Shub Bhowmick (CEO), Sumit Mehra (CTO), and Shashank Kumar Dubey (Head of Analytics).  

Funding: Tredence has been bootstrapped by the founders and generates enough cash that is invested back in the business. They have not accepted any external investments yet.

The company and its analytics solutions: Headquartered in San Jose (CA), they have delivery centre in Bangalore. It is an analytics services and solutions company delivering competitive advantages via data insights to leading Fortune 500 companies. Their capabilities range across data management, data visualisation, advanced analytics, big data set up, and machine learning. The company has global presence across 9 locations including US, Canada, Australia and India, serving clients across industries.

Tredence provides white-box, analytics driven technology solutions, designed to empower frontline managers to make informed business decisions. They specialise across all key areas of the data analytics spectrum: data engineering & management, data science, and data visualisation. These full stack solutions are built on the power of AI and ML algorithms – in combination with a variety of big data technologies – making it simple, smart, and visual to use.

Employee strength: 235+

The differentiator factor: They have been recognised by some of their clients as the most indispensable analytics partner, as they leverage well-oiled ecosystem of consulting, technology, advanced analytics and visualisation to build customised solutions for clients. These are designed to enable clients consume insights at scale, with the least amount of manual intervention. They ensure smooth implementation and adoption of the solution across the decision value chain, helping clients measure business impact and drive pervasiveness.

The growth story: With their own share of troubles, once they hit the acceleration pace, there has been no looking back. They have grown in revenue a 100% YOY, and have over 25 clients spread across industries.

9. 3LOQ, Founded 2012

The team: Founded by Anirudh Shah and Sunil Motaparti. While both have a degree from Carnegie Mellon, Shah has worked extensively with machine learning and NLP for over a decade and Motaparti is analytical with a keen interest in marketing and advertising and builds technology to make messaging more relevant and engaging.

Funding: 3LOQ is funded by Bitkemy Ventures, a Hyderabad-based tech incubator-cum-seed fund that was setup by Sunil Motaparti in 2012. It is planning to raise a new round of funding in 2018.

The company and its analytics solutions: The company is building machine learning algorithms to increase customer engagement and reduce attrition. 3LOQ leverages consumer psychology and big data to create unique personalised interfaces that enable habit formation amongst target consumers. Currently it is focused on implementing Habitual AI solutions to solve challenges in the financial sector.

3LOQ started out by enabling companies to crunch billions of customer transactions to extract revenue-related business intelligence. They honed machine learning algorithms to reduce attrition through habit formation, leveraging consumer psychology and data wizardry. They’ve used Habitual AI to automatically and securely personalise financial customer communication like never before in:

• Digital banking, accelerating adoption of digital services like net banking.
• Primary banking, recommending banking products that are most likely to result in customers choosing a particular financial institution as their primary bank.
• Card/Payments, finding and recommending merchants and categories that a customer is most likely to buy from using a bank’s credit card.

Employee strength: 15

The differentiator factor: Its Habitual AI is a platform that enables banks to learn their customers, suggest personalised feature recommendations and lead them towards building a habit of using a product more frequently. The robust, universal platform handles structured and unstructured data ingestion from any source, at several TBs per day. It runs on commodity hardware and lives up to its enterprise-grade stamp with built-in fault tolerance, high availability, and horizontal scalability.

The growth story: After working for clients across a wide gamut of sectors like telecom, retail and e-commerce for 3 years, 3LOQ saw an opportunity in the banking and finance sector. They’re currently focusing on this sector and HDFC is one of their major clients in India. They also started projects with other Indian banks and their goal is to onboard at least 5 major Indian banks in 2018.

10. Turing Analytics, Founded 2015

The team: Founded by Aditya Patadia and Divyesh Patel. With MBA and relevant industry experience, they were passionate about indigenously developing machine learning based business solutions.

Funding: Turing Analytics had raised seed funding from Private Investors in July 2016.

The company and its analytics solutions: Inspired by Alan Turing, the father of AI, Turing Analytics is driven by a vision to develop solutions powered by machine learning to help businesses make data driven decisions. They deliver visual search & recommendation solutions to both online and offline retailers, helping them improve product discovery, customer engagement and boost conversion rates.

The founders back in 2015 were convinced that machine learning is the technology of future and decides to create products that could solve business problems using ML. They identified that Indian ecommerce websites were not able to unlock full potential  of customer reviews as off-the-shelf NLP engines were not good enough in Indian context. Hence they created a NLP engine that worked for Indian English as well as Hinglish. This innovation was used to create “Customer Review Analytics System”.

Their key analytics solutions are:

• Visual search that enables users to search items using photos! It can identify the right items being searched without cropping or category selection.
• Similar product recommendation, suggesting similar looking items from a catalog.
• Fashion trend recognition, where they have developed a neural network based AI system which can identify what is trending among customers and suggest which products should be pushed.      
• Image recognition and tagging, where they train customised image recognition models as per client requirements.
• Customer review analytics, which is a product to classify online customer reviews into actionable set of buckets e.g. packaging, shipping, product quality, price etc.

Employee strength: 7 and hiring for expansion to overseas markets.

The differentiator factor: They can utilise all types of data (text, image, video etc.) for training neural networks and hence, there is no industry or sector limitation to their products. They can work for fashion or home furnishing with equal efficiency as for medical images and patent search.

The growth story: Two months after the inception they got their first & oldest running client Shopclues.com for “Customer Review analytics”. Since then, they have ventured into visual search and product recommendations solutions, garnering clients not just from India but abroad. Some of them are TATA Group, Kimberley Clark, Future group C&D Labs.

The post 10 Emerging Analytics Startups In India To Watch Out for in 2018 appeared first on Analytics India Magazine.

Technological disruptions such as advances in machine learning and robotics have automated existing jobs in sectors such as manufacturing, retail and food production. With changing business models the employees now require different core skill sets. A 2017 All India Council for Technical Education report found that over 60 percent of eight lakh engineers graduating from engineering institutions across the country remain “unemployable” each year.

The survey cited that only 1 percent of engineering students take part in summer internships. The alarming news is that only 15 percent of engineering programs offered by over 3,200 institutions are accredited by the National Board of Accreditation (NBA). The general view is that the current talent pipeline cranked out of engineering institutes comes with outdated knowledge. Today, a four-year technical degree is not enough to guarantee a suitable job placement. Employers increasingly favour an ability to work with data, analytics and visualisation skills.

This study delves deeper into the type of educational institutions offering data and analytics programs; how the educational landscape is changing in response to the heightened demand for analytics skills and what needs to be done to fill the skill gap.

Different Models Of Analytics Education Providers In India

The nature of analytics education has changed and a mix of models have emerged in the online space to accommodate the changing requirements of learners. Our survey revealed respondents seek a career-focused analytics education augmented by classroom setting that prepares them for job functions in the data analytics space. In cases where learning is delivered purely online, participants look for real-time learning in a format that allows learners to pursue it at their own pace. The course content is created by top instructors, with industry and university collaboration to provide a well-rounded analytics education. In the case of executive analytics courses, technical skills such as data management are augmented by soft skills such as business understanding and communication. Executive courses are intended for senior professionals who want to renew their skillset and understand how data can be helpful in managerial decision making.

Analytics education providers in India mostly offer Business Analytics (BA) and Business Intelligence (BI) programs that combine analytical number crunching, reporting and visualisation techniques.

Lay Of The Land: Analytics Education Players In India

There are at least 250 educational players in India providing analytics education in some format. one-third of these players are organised B-schools, engineering colleges and Universities and the rest are private training institutes. Top B-schools are collaborating with the plug-n-play venture for high-level campus learning experience that bridges the gap by bringing industry perspective. B-schools have also partnered with leading industry providers that expand the expertise by delivering technical training on in-demand industry tools. From on-campus engagements to live online classes, these collaborations meet the unique industry demand.

Another key observation is the academic collaboration between Indian universities and IT majors to bridge the existing skill gap in the industry. The offshoot is creating a steady stream of talent and adding L1 employees to the talent pool. These courses cover the whole gamut of requirements [data analytics and management strategy] and also add to the students’ employability factor.

The earliest disruptor in the market — private training institutes or edtech startups provide career-oriented, short-term courses to working professionals who want to get ahead in their career. Private players have built a solid reputation based on successful placement track, eminent faculty drawn from top schools and economic accessibility. Geared at early, mid and senior working professionals, the flexibility of online courses have made them a popular academic choice among this segment.

Mode of learning for Private institutes

For private training institutes, almost all courses are part-time courses available either as an online model or weekend classroom model.

An astounding 87 percent of analytics courses from private training institutes are self-paced learning models. The format is mostly popularised by the likes of Coursera, edX and Udemy. There might be a bit of an element of projects and instructor contact, yet mostly it is learning out of pre-recorded videos. Customised lectures, industry-focused curriculum and a partnership with some of the world’s leading universities make it the best choice for working professionals to advance up the job ladder. This model is popular with learners with demanding schedules who need the flexibility of pursuing the course at their own convenience. In fact, self-paced learning models were specifically created with working professionals in mind.

 On average, analytics courses by private institutes have 105 hours of instructor contact hours. This does not include self-paced only learning courses.

The hybrid model of self-paced + online instructor-led courses has the highest number of contact hours at 157. The blended learning opportunity enables students to get continuous feedback and provides real-time assessment.

Weekend-only model has the least contact hours at 75. For those looking for face-to-face learning environment, weekend model is the best fit.

 Mode of learning for B-school and Universities

56 percent of all long-term analytics/ data science programs by B-schools/ institutes in India are part-time courses. The rest 44 percent are full-time programs. Most of these full-time courses have incepted in last 2 years itself.  Schools earlier experimented with part-time courses, and moved towards full-time.

On average, full-time courses are for 19 Months whereas part-time courses are for 8 Months. Full-time courses offer learning in a structured format, enable peer-to-peer interaction and offer a comprehensive academic curriculum. besides, full-time courses feature a broader, more comprehensive approach to data and analytics education. Students get hands-on experience with a variety of analytics tools and learn how to apply them in areas such as finance, marketing operations at the state-of-the-art big data labs. The faculty comprises seasoned professors and industry professionals who broaden the academic experience with industry inputs. In addition to industry exposure, each semester is complemented with case studies, Capstone project and guest speakers that makes for a well-rounded analytics education.

On-campus programs play a major role in placements and internships and enable students to explore career opportunities through recruitment programs with partner companies.  

In terms of degree awarded, 45 percent of long-term programs provide a Certificate in analytics, 31 percent provide PG diploma and 24 percent bestow a Masters degree. ost of the master’s degree programs are full-time programs.

 Course Fee

 For short term programs, the average course fee is Rs 27,300. For long-term programs, the average course fee is Rs 4.8 Lakhs. The economic accessibility of short term courses and flexibility of payment make them a popular choice among learners. Known for their blended experience and online convenience, short term courses also help learners in professional development and get ahead in the data science career.  As compared to on-campus programs that take a longer time to finish, short-term courses put students on an accelerated career path. Graduates from short-term and long-term programs go on to find high paying jobs across the sector.

The post Study: State of Analytics Education In India – 2018 appeared first on Analytics India Magazine.

Analytics and Data Science are emerging fields which are now being integrated with all the industries across all sectors. Be it Fortune 500 name or local startups — everyone is using analytics to garner insights from big data. The entire industry has seen a sharp increase in demand for highly-skilled professionals as well as systems. But this month we decided to find out what are the challenges faced by this thriving sector.

Be it organisational challenges, educational questions or operational quandaries — we dug deep to uncover what’s stopping India from becoming a superpower in this the analytics and data science sectors. We asked our readers an array of questions, as comprehensive as possible, to get a complete understanding of the problems faced in this sector.

About The Study:

For this study, we asked our readers to tell us more about the challenges they faced — mostly at an organisational level — in the analytics and data science sector. We took opinions from all those who practice data science — from professionals with less than two years of work experience to CXOs — to get a thorough idea of the issues they faced in this swiftly-developing sector.

Our survey was met with much enthusiasm — and we got great insights from it. Some of them were expected, and many of them were real eye-openers. So here are the key problems and challenges faced by the analytics and data science industry as a whole:

1. What is the biggest challenge faced by the analytics and data science sector in India?

This key question was aimed at the organisational cadre. Clearly, understanding of the analytics and data science sector by clients/stakeholders/management was the chief problem faced by 22% of the respondents.

Interestingly enough, shortage in talent was also an important problem faced by 19% of the organisation of all magnitude. This came as a surprise to us, seeing how the number of institutes, MOOCs and online resources that offer education in analytics and data science is increasing steadily. The lack of standardisation of processes and techniques and inflated expectations from stakeholders was another key problem faced by 15% of all the companies and data science and analytics practitioners.

2. What do you think is the best way to increase the talent pool in analytics?

As we discussed earlier, the best way to increase the talent pool in analytics, according to 48% of our respondents, is regular upskilling. It can either be sponsored by companies or employees themselves. In an era where so many resources are available at the fingertips of the users, the answer to this challenge seems obvious.

However, our respondents have also voiced their opinion on the quality of education in India. 36% of our readers have said that the best way to increase the talent pool in analytics is to improve the quality of education — especially the courses, the degree programmes and the teachers and instructors.

Only 10% of the respondents thought that talent pool was not an issue they faced in their respective companies or careers.

3. How can we create or increase awareness about Analytics at a management level?

This question gave us a clear insight into the attitude of the corporates working or beginning to work with analytics. For 37% of respondents felt that making the C-level management aware of how analytics can help optimise ROI was one of the keys to smooth adoption and upgradation in the company.

On the other hand, 32% of the respondents thought that educating the management about benefits of analytics through road shows, events and on other platforms would help them increase awareness about this industry.24% of the respondents thought that rather than educating or teaching their peers, it would be easier if they could demonstrate the benefits of analytics with the help of effective use cases.

4. What data problems do you face the most?

As data is the fuel for this industry, it came as no surprise when 64% of our respondents said that available, but poorly stored or fragmented data was one of the banes of their existence.

24% of the respondents said that one of the key challenges in the analytics and data science sector was the fact that data sources are many times too complex or siloed. Only 7% of the respondents said that the got no data to work with.

5. How do you think that standardisation can be brought to the Analytics ecosystem?

This was one of the questions where we got a very interesting (if fragmented) answer by our respondents. When asked about the level of standardisation in the sector, 35% of our respondents said that analytics and data science sector will work smoothly only if a central authority was created to craft policy and standards.

32% of the respondents were quite pessimistic about the process — they admitted to the fact that they did not think that standardisation was possible at all in analytics and data science fields.

Only 28% of the respondents said that standardised tools for everyone’s use would help in streamlining the sector.

6. Do you think Analytics has left many open-ended definitions? How can this be fixed?

One of the many qualms about this sector is that it has many open-ended definitions and jargons. Interestingly, to 34% of our respondents said that if academics pitch in for creating more solid definitions, the problems would be solved.

In line with the question above, 32% of the respondents said that if a central body were to create definitions that everyone in the industry adhered to, the problem would be wiped out entirely.

Interestingly, 17% of our readers felt that open-ended definitions and jargons were not a problem at all in the analytics and data science industry.

7. How can we deal with the problem of inflated expectations from stakeholders?

Analytics and data science is such a sector where most managers think that the system is in place, it will work wonders. Many times it backfires and works against the sector itself. It, therefore, comes as no surprise that 40% of our respondents said that educating stakeholders about the working of the analytics department — workflow, timeframe, results, etc — would help in streamlining the process.

24% of the respondents said that showcasing workflow through successful use cases, even from other companies or projects, would help with the problem of inflated expectations from stakeholders.

Only 21% of our readers said that regular demonstration of the development of products and services would help understand the stakeholders better.

8. What ROI problem do you face in your Analytics firm?

As mentioned earlier, telling the time, date and quantity of the return on investment in any analytics or data science department can be tricky. That is why 57% of our respondents (an overwhelming majority) said that quantify ROI was the basic problem they faced. 20% of the respondents felt that the stakeholders or managers did not wait for the tuning period to see the fruits of the labour from the analytics and data science department.

Our Respondents’ Profile

Work experience and education:

Industry:

City of residence:

The post Survey: Challenges Faced In Data Science Sector — 2018 appeared first on Analytics India Magazine.

As part of the annual ranking process, Analytics India Magazine brings you this year’s Top 10 AI Courses in India, which would help freshers, analytics professionals and data scientists choose the best programme to upskill themselves in the industry. This is the second year of successfully conducting and presenting the study to the AI community. Also, this is the first time we have used a ranking format for the same.

As a part of study, we requested institutes to fill out the form which was divided into parameters like course content, pedagogy, and other attributes like faculty, external collaborations, placement assistance, virtual labs, events, LMS, etc. Each of these parameters were rated on a scale of 1-5. Students’ feedback as well as advice from experts was also taken into consideration to arrive at the final ranking.

AI/ML education is on a nascent stage in India. We received a total of 15 nominations for this list and most of these program offerings were as new as 2 years old. But we expect many more education players to start offering AI/ML programs in near future. That is why we have clubbed all formats courses in one ranking (i.e. long/short format, online/classroom formats, etc.)

Please note that this ranking is completely different from our analytics training institutes and courses ranking that we come out with each year. This ranking is more focussed on AI-related courses and programmes.

See our Top 10 Full Time Data Science Courses In India- Ranking 2018 here.

See our Top 10 Executive Data Science Courses in India – Ranking 2018 here.

See our Top 10 Data Science Training Institutes in India – Ranking 2018 here.

1. PG Program in Machine Learning and AI from IIIT-B By UpGrad

Headquarter: Bengaluru (IIITB), Mumbai (UpGrad)

Year of Inception: 2015

Cities of Operation: All across India

Mode of Delivery: Online

Duration of Program: 11 months

No.of hours: 400 hours

Cost: ₹2,85,000 (inclusive of taxes)

About The Program: Founded by media stalwart Ronnie Screwvala, UpGrad provides rigorous and industry-relevant programs designed and delivered in collaboration with renowned IIIT-Bangalore faculty under the leadership of Professor Sadagopan. Learners can earn a PG Certificate from IIIT-Bangalore while continuing their full-time work. The programme has been designed by the IIIT-B faculty as well as industry experts, with six cutting-edge industry-based projects.

Course Content And Pedagogy (4.9): The course focuses on statistics essentials such as using statistics to describe data and infer insights, building machine learning models using supervised, unsupervised learning, natural language processing, neural networks, deep learning, graphical models, reinforcement learning etc. In addition to these, students get a chance to work on cutting-edge projects such as predicting customer churn in telecom industry, building a chatbot engine, disease prediction using medical imaging, among several others.

Other Attributes (4.9):

External collaboration- IIIT Bangalore

Faculty- The program is designed and delivered by a combination of leading industry professionals and top-notch academicians from the field of analytics. It includes the likes of Prof Tricha Anjali (PhD Georgia Institute of Technology), G Srinivasaraghavan (PhD, IIT Kanpur), Dinesh Babu Jayagopi, Prof R Chandrashekhar (PhD Mississippi State University). The program has partnership with companies like Uber, Genpact, Fractal Analytics and Gramener and 20+ ML industry experts from leading corporations.

Others- It conducts offline events called Basecamp held over four cities to provide provide career counselling, resume review, interview preparation and networking opportunities to students. In addition, Hackathons are organised where students get a chance to work on challenging industry problems and real data sets. Along with live lectures, it boasts a user friendly LMS.

The overall rating is 4.9

2. Foundations of Artificial Intelligence and Machine Learning By IIIT, Hyderabad In Association With TalentSprint

Year of inception: IIIT-Hyderabad, 1998; TalentSprint 2009

Cities of Operation: Hyderabad, Bengaluru

Mode of Delivery: Hybrid program during weekends

Duration of Program: 14 weeks

No. of hours: 168 hours

Cost: ₹2,00,000 (+ GST); Special scholarships for women, young professionals

About The Program: The AI/ML executive program is designed by IIIT-H’s Kohli Centre on Intelligent Systems, India’s premier research cluster for AI. Its ground breaking research in language technology, computer vision, data sciences, robotics, cognitive sciences and machine learning is recognised by researchers the world over. TalentSprint is a partner for the program which is run by professionals from the industry. The program has trained more than 400 professionals from 127 companies who joined the first batch launched in Jan 2018.

Course Content And Pedagogy (4.7): The program is delivered using five different components — classroom lectures, where they learn concepts; labs which are done on cloud; mentors; industry workshops and hackathons. As a part of industry workshop senior technical heads of the top tech companies share their experience on using and implementing AI, by the likes of Ranga Pothula (President, HYSEA; VP and Centre Head Infor), Dr Anbumani Subramanian (Lead Architect, Intel Corporation), Dr Shailesh Kumar (Vice President and Distinguished Scientist, Ola), Mithun Das Gupta (Principal Applied Researcher, Microsoft), Sundar Srinivasan (General Manager, Microsoft AI and Research), and others. The curriculum is designed keeping in mind working professionals.

Other Attributes (4.8):

External collaboration- They have an external collaboration with TalentSprint

Faculty- Some of their key faculties are Prof CV Jawahar, Prof Anoop Namboodri, Asokan Pichai and Jayanth Ramisetty.

Others- They focus extensively on events, industry interaction and hackathons. They have a cloud based virtual machines for labs with access to data sets. They also provide placement assistance and LMS which provides videos on every class, CFUs, and others.

The overall rating is 4.75

3. Post Graduate Program In Artificial Intelligence and Machine Learning By Great Learning

Headquarter: Gurugram

Year of Inception: 2013

Cities of Operation: Bangalore, Chennai, Gurgaon, Hyderabad, Pune, Mumbai

Mode of Delivery: Formats include weekend classroom option and fully online option

Duration of Program: 1 year

No. of Hours: 400+ learning hours

Cost: ₹3,25,000 (+ taxes)

About The Program: Great Learning is an edtech company offering career competencies in areas like analytics, data science, big data, machine learning, AI and more. The post graduate program in AI and ML is designed to develop these skills for future-oriented working professionals. It includes rigorous exploration of the conceptual elements in class amidst peers and faculty. The program includes a capstone project that are often the talking points in job interviews and are conducted over a period of few months.

Course Content And Pedagogy (4.8): This 12-month blended program builds solid foundation by covering areas like computer vision, NLP and intelligent virtual agents, among other. This comprehensive program covers a range of topics from traditional supervised and unsupervised learning methods, to ensembles. It has more focus on labs, projects and Capstone project building a robust e-portfolio of work. It has 9 hands-on projects, GPU based lab environment to build deep learning models, guidance from industry experts through workshop session, among others.

Other attributes (4.6):

External collaboration- Great Lakes Institute of Management

Faculty- Faculties include leading academicians in the field of AI and ML and several experienced industry practitioners from leading organisations. Some of their faculties include Dr Narayana (Professor, Big data and ML, Great Lakes), Dr Mukesh Rao (Adjunct Faculty, Data science and ML, Great Learning), Mayur Datar (Chief Data Scientist at Flipkart), Satya Nitta (Ex Global Head of AI Solutions at IBM), among others.

Others- They conduct regular offline events and webinars with industry experts on topics like Careers in ML, Introduction to AI. They also have virtual labs, hackathons and provide networking opportunity with peers and industry experts. Their technology platform – Olympus – is accessible for candidates for upto three years post completion.

The overall rating is 4.7

4. Full Stack Machine Learning and Artificial Intelligence Program By Jigsaw Academy

Headquarter: Bengaluru

Year of Inception: 2011

Cities of Operation: Bengaluru, Delhi, Hyderabad; worldwide (online)

Mode of Delivery: Online and Hybrid

Duration of Program: 24 weeks

Cost: ₹48,400 + taxes

About The Program: This award-winning analytics training institute is built on the idea of producing industry-ready practitioners by training them in the areas of analytics, data science, big data, machine learning, deep learning, artificial intelligence and IoT. The full stack ML and AI program focuses on building solid foundation and exposes to advanced DL and AI application building with additional access to IBM’s ML platforms and Watson via the data science experience and content. The main tool used is Python with additional exposure to Keras and TensorFlow. Jigsaw Academy is the preferred corporate training partner for organisations such as Microsoft, Genpact, Adobe, Cognizant, Nokia, HCL, Societe Generale, Maersk, WNS, GSK, Citibank, Flipkart, Applied Materials, Mahindra, Swiss Re, Reliance Industries Limited.

Course Content And Pedagogy (4.7): The course content includes modules on machine learning algorithms, Python for ML, R for ML, feature engineering, logistic and linear regression, random forest, gradient boosting machines, recommendation engines, clustering, deep learning concepts and tools such neural networks, CNN, Keras, Tensorflow; Natural language processing, Blockchain. It is delivered using Jigsaw’s patent C.A.T.A.L.Y.S.T approach that is a unique training methodology that enhances career growth for all its students. The pedagogy includes learning through case study workshops, extremely hands-on contests and Capstone projects, working with live industry data.

Other Attributes (4.5):

External collaboration- The course content and use cases have been designed with extensive input from industry subject matter experts from several domains, and additional input via Jigsaw’s corporate and academic collaborations

Faculty- Faculty supporting the course include Neha Shitut, who has over 10 years of analytics and ML experience, and Gunvant Singh. They have delivered extensive ML and AI trainings to corporate clients globally.

Others- They have a state of the art lab and webinars along with placement assistance and LMS, where students can access course content, interact with faculty, support, and fellow learners; track their course status, view and apply for job listings, take part in student contests, get webinar notifications, and get access to all internal announcements.

The overall rating is 4.6

5. Post Graduate Certificate Program In Artificial Intelligence And Deep Learning By Manipal ProLearn

Headquarter: Bengaluru

Year of Inception: 2015

Cities of Operation: Globally

Mode of Delivery: Hybrid (live interactive online lectures with self-paced content and online lab practice)

Duration of Program: 6 months

No. of hours: 340+

Cost: ₹1,50,000 (+ taxes)

About The Program: The PG certificate program in AI and deep learning by the institute is an online live instructor-led program for individuals who are graduates with basic knowledge of programming and are focused on building their career in AI. The program aims to train learners and make them expert in developing AI-based tools and solutions with the help of widely used methods and libraries of AI, ML, DL and neural networks. It has GPU labs for hands-on practice, VR app for experiential learning, pre-prep sessions, online bridge program on Python programming, meetups, online webinars, real-life capstone projects, practice on industry case studies, mini projects on TensorFlow, keras, Scikit, among others.

Course Content And Pedagogy (4.6): It allows aspiring professionals become AI practitioner by gaining ability to perform tasks on various industry applications and real use cases. The program focuses on helping learners apply TensorFlow, Scikit Learn library, Keras and other machine learning and deep learning tools. The AI and DL program also help learners develop expertise to work on algorithms in real-world problems using image and speech recognition. The program helps learners to start their career as AI Developer AI Engineer or a Data Scientist.

Other Attributes (4.4):

External collaboration- The program involves extensive involvement of corporates— established MNCs, startups and specialised AI companies that partner for industry use cases and delivery of modules.

Faculty- Some of the noted faculties are Mohan Silaparasetty, Arish Ali, Dr. Srinivas Padmanabhuni who have PhD and years of industry experience in the domain.

Others- The learners can be a part of events such as High Meetup — Bangalore Artificial Intelligence Group, Pune, Hyderabad. It also has cloud-based CPU and GPU labs along with a LMS platform Edunxt which is a robust and user-friendly LMS portal catering to the learning needs of more than 1 Lac students.

The overall rating is 4.5

6. Applied Machine Learning Course By Applied AI Course

Headquarter: Hyderabad

Year of Inception: 2017

Cities of Operation: Hyderabad

Mode of Delivery: Online

Duration of Program: One year course validity

No. of hours: 140+ hours

Cost: ₹29,500

About The Program: Applied AI course through its unparalleled curriculum aims to bridge the gap between industry requirements and skill set of aspiring candidates by churning out highly skilled machine learning professionals who are well prepared to tackle real-world business problems. Some of the USPs of their program include job guarantee or money back guarantee, query resolution within 24 hours, personalised learning path for each student, mentorship for portfolio development, resume and interview preparation among others.

Course Content And Pedagogy (4.5): The course content is simple and accessible to a wide range of audiences from students to experienced working professionals. It is structured in a way that helps in building knowledge from ground up. With a perfect blend of theory and practical applications, the course has 140 plus hours of high-quality video content which is completely online and self-paced. It covers topics from basics to complex topics in machine learning and deep learning. It includes 30 assignments giving hands-on experience to students. It also includes 15 end-to-end case studies based on real-world problems across various industries giving students a taste of real-time experience.

Other Attributes (4.1):

Faculty- The faculties serving here have years of relevant experience in the industry. Some of the prominent names are Srikanth Verma Chekuri, among others.

Others- They provide placement assistance under their job guarantee or money-back guarantee program. They have an effective learning and management system where students can track their progress and get personalised actionable feedback for their assessments from their team of experienced mentors.

The overall rating is 4.3

7. Post Graduate Diploma in Machine Learning and AI By Careers Of Tomorrow— Amity Online

Year of Inception: 2018

Cities of Operation: Noida, Bombay and Bangalore

Mode of Delivery: Online

Duration of Program: 11 months

No. of hours: 400

Cost: ₹1,35,000

About The Program: In 2018 Amity Online has launched Careers of Tomorrow – focussing exclusively on online courses on emerging technologies like AI-ML, Business Analytics and Blockchain. These courses have been designed with deep integration with industry to build skills among professionals which would be needed by the industry in the coming years. The program is an output of months of brainstorming, planning and execution by top minds in both industry and academia. The highly engaging and comprehensive course builds on best practices, fundamental theory to equip students to be hands-on and relevant in AI intensive job roles of the future.

Course Content And Pedagogy (4.3): The course material includes lectures and other study materials from faculty with real-world expertise. The online coursework includes case studies, mini projects, assignments, capstone ML and AI project to work on practical use cases. It has instructor-led practise sessions to learn popular platforms and language and work on four projects during the program. The optional contact session at Amity campuses ensures that students stay in touch with industry mentors and experts to solve queries and doubts.

Other Attributes (4.2):

Faculty- Ashish Gilotra (Program Director), Naveen Bhansali,Swathi K, Dr Suresh Varadarajan, Dr Sakshi Babbar, Dipanjan Sarkar.

Others- It has offline campus connect at Amity campuses in nine different cities. The virtual lab includes four Harvard case studies. They use world’s leading LMS Canvas for delivery.

The overall rating is 4.25

8. Columbia University’s Artificial Intelligence Program By Pearson Professional Programs

Headquarter: Gurgaon

Year of Inception: 2016

Cities of Operation: All over India

Mode of Delivery: Blended

Duration of Program: 6 months

No. of hours: 240 hours

Cost: ₹72,000 + taxes

About The Program: Pearson Professional Programs partners with leading educational institutions, faculty and content providers from around the world to help working professionals update their skills and progress in their careers. The AI program in collaboration with Columbia University is a blend of theoretical knowledge from the world-renowned university and practical knowledge from over 10 industry experts. They employ cutting-edge technology, classroom infrastructure and pedagogical methods for an efficient delivery of program.

Course Content And Pedagogy (4.1): The innovative online program covers fascinating and compelling topics in the field of AI with modules covering topics spanning Python, artificial intelligence, machine learning, robotics, animation and CGI motion. The program represents 25% of the coursework toward a Masters degree in Computer Science at Columbia and gives a rigorous, advanced, professional and graduate-level foundation in AI.

Other Attributes (4.1):

External collaboration- Columbia University

Faculty- They have faculties such as Ansaf Salleb-Aouissi from department of computer science, Columbia University, John W. Paisley from department of electrical engineering, Columbia University, Matei Ciocarlie from department of mechanical engineering, Columbia University and Eitan Grinspun from department of computer science, Columbia University

Others- They conduct industry expert sessions with prominent AI researchers and startup founders to get an insight of the industry. They also provide placement assistance with compelling resume writing, interview preparation and others. They also have an exclusive PearsonX platform for the pre and paid learners.

The overall rating is 4.1

9. Masters In AI, Machine Learning and Deep Learning (Hands-on Program) By ZekeLabs

Headquarter: Bengaluru

Year of Inception: Operating since 2016

Cities of Operation: Bengaluru for classroom sessions; online sessions for participants across the world via LMS and web sessions

Mode of Delivery: Online, classroom, hybrid (classroom + online)

Duration of Program: 6 months

Cost: The cost varies from ₹25,000 to ₹2,50,000; based on the program

About The Program: ZekeLabs is a technology platform that focuses on skilling, re-skilling and up-skilling in cutting-edge technologies including AI, machine learning, deep learning, cloud, big data, IoT, blockchain etc. The coding and analysis is done live in the sessions so as to give a practical experience of the industry. The code written in the sessions and are available in the Github repository. Till now they have developed and delivered learning programs for leading tech companies such as IBM, Cisco, General Electric, Schneider Electric, JP Morgan Chase and others.

Course Content And Pedagogy (3.9): The training program has been designed in a way to include critical hands-on experience suiting the requirements of complete beginners to pro learners. It starts from the foundation of programming and moves through concepts of data science including data cleaning and wrangling, data visualisations and plotting. It also includes core ML concepts such as hyperparameters, feature engineering, linear regression, logistic regression, k-Means Clustering, decision trees and random forests, CNN, recurrent neural networks, computer vision, and others. It also gets an hands-on advances ML and DL libraries such as Google’s TensorFlow, H2O, Keras and others to implement the concepts.

Other Attributes (4.2):

External Collaboration- The learning program is prepared by the feedback from experts in corporate training programs which helps in constant up gradation of methodology and requirements to keep up with the latest developments.

Faculty- They have industry practitioners with 12+ years of experience on an average.

Others- They offer extensive training programs, meetups, webinars and conferences. They also provide placement assistance along with having virtual labs and LMS.

The overall rating is 4.05

10. Artificial Intelligence Course By MindMajix Technologies INC

Headquarter: Bengaluru

Year of Inception: 2012

Cities of Operation: All Over US, Canada, Australia, Singapore and many other countries

Mode of Delivery: Online, self-paced, corporate training

Duration of Program: 30 hours to 5 days

No. of hours: 30 Hours

Cost: ₹30,000

About The Program: MindMajix is a live and interactive e-learning platform that offers online education to help companies improve their profitability drastically. Their e-learning management system consists of several courses related to latest advancements in IT, AI, ML, business intelligence, analytics, cloud computing and others. Their digital programs provide professionals the opportunity to attend open sourced academic courses on the go and build up their skills and knowledge.

Course Content And Pedagogy (4.0): This course by MindMajix provides the basics of modern AI along with representative applications of AI. It is offered by world’s foremost AI experts who help develop a deep understanding of algorithms that are applied to real-world problems in natural language processing, computer vision, bioinformatics, and more. They offer a structured approach for applying these techniques to new challenges so that professionals are prepped up to fully advance in the field.

Other Attributes (3.9):

External collaboration- MindMajix collaborates with some of the world’s largest firms, platform providers, and top academic institutions to strengthen learning opportunities for course seekers.

Faculty- They have include visionaries, leaders and decision-makers from large, influential companies as their trainers

Others- The virtual training labs in MindMajix offer every student a realistic and hands-on training environment. For placement assistance, they ensure that program participants have the necessary hard skills and resources to excel in their new career. Also, their LMS is endorsed by reputable companies for its deployment.

The overall rating is 3.95

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The post Top 10 Courses And Training Programs On Artificial Intelligence In India: Ranking 2018 appeared first on Analytics India Magazine.

Analytics India Magazine brings you the annual list of the top data scientists in India, for the fourth year in a row. We have been identifying the ingenious minds in the world of data science and analytics who are also driving the innovations across various industries in India. From building analytics team to bringing newer processes in the working, the data scientists listed here have been instrumental in changing the face of the organisation.

We have considered data scientists working with an organisation or independently, irrespective of size and nature of work.

Here’s the list of top 10 data scientists, to draw some inspiration and motivation from.

(The names are listed in an alphabetical order)

Read our previous list:

2017 | 2016 | 2015

Anand Srinivasan

Current Role & Responsibilities: Anand is the founder and CEO of DSquare Solutions, a boutique analytics solutions startup based in Bengaluru. He has been a career analytics professional with over 20 years of experience in Operations Research, Analytics and mathematical modelling.

Analytics & Data Science Journey: He started his career in the Aviation industry with Sabre, where he worked on cutting-edge solutions for some of the most complicated mathematical problems including revenue management, fleet optimisation, staff rostering and cargo revenue management, among others. In fact, he claims to be one of the few people that carried the designation of “Data Scientist” way back in the late 90s before the title became famous.

Significant Achievements: Since Sabre, Anand has also spent significant time tackling data science challenges in various verticals like retail, FMCG, telecom, banking and business operations across companies like Dell, CISCO, Standard Chartered Bank, Pepsico and Airtel, through his startup. He has co-authored a book Business Analytics – A Practitioner’s Guide which lays down a framework for Decision Analytics powered by data sciences.

His mantra for success is to not focus on the tools or techniques, but rather approach the problem from the decisionmaker’s perspective. “The Decision is bigger than the Data” is his motto.

Education: He holds a Bachelor’s degree in Engineering from IIT Madras and a Masters Degree in Operations Research from Purdue University.

Anurag Verma

Current Role & Responsibilities: Verma is the CEO and co-founder at MathLogic Consulting Services. His current focus is on leveraging reinforcement learning and temporal CNN for real-world problems. Verma still loves to write codes and has a broad experience with data processing tools/ languages including Scala, python, Spark, R, SAS. He can speak passionately about open source technologies platforms as well as machine learning algorithms.

Analytics & Data Science Journey: He has over 22 years of experience in analytics and consulting across North America, Europe, Australia, Africa and Asia. He specialises in using cutting-edge data science tools and techniques for real-world problems. Before starting MathLogic he had worked with Accenture, American Express, Genpact and PwC.

Significant Achievements: He is experienced in building and leading specialised data science teams in the companies. He has designed and delivered solutions around fraud, credit risk, sales and marketing as well as operational efficiencies with embedded machine learning and deep learning algorithms.

Education: Anurag holds a Master’s degree in Business Administration from IIM Calcutta and a Bachelor’s degree in Engineering from IIT Kanpur.

Chiranjiv Roy

Current Role & Responsibilities: Dr. Chiranjiv Roy heads the Data Science & Artificial Intelligence as Vice President, Nissan Digital. He manages various heads of verticals such as data science, artificial intelligence research and products development, data engineering and big data.

Analytics & Data Science Journey: He has 17+ years of experience in leading R&D – Manufacturing and Automotive MNCs such as Mercedes Benz R&D India, Hewlett Packard R&D, General Motors and BMW. As a part of the Leadership Team for Nissan Digital (fully owned subsidiary of Nissan Motor Corporation), he holds the position of Head of Data Science with practices as Decision Sciences, Advanced Analytics, Artificial Intelligence Products and Big Data Engineering as verticals to support the journey to drive Nissan’s aspirations in Digital Transformation by leveraging data to enable faster & smarter business decisions also envision intelligence in products and services.

Significant Achievements: Dr. Roy has more than 18 patents filed and 2 granted on usage of Data Science to solve real world Automotive and Manufacturing problems by developing or enhancing products and gain efficiencies. He has held multiple Industrial Track and Workshop Chair positions, member of Analytics Society of India, and has given invited talks and keynote speeches in multiple conferences including Cypher 2018, DataHacks 2017 and FedCSIS IEEE 2015.

Education: He holds an Undergraduate and Master’s degree in Statistics and a PhD in Computer Science.

Goda Ramkumar

Current Role & Responsibilities: She is the Principal data scientist at Ola. In her current role, she leads the machine learning and optimisation algorithms behind ride pricing, matching and supply shaping at Ola Cabs.

Analytics & Data Science Journey: Prior to joining Ola, she worked with operations research group at Sabre Travel Technologies for 10 years. At Sabre, she worked on a variety of problems in airline pricing and revenue management with airlines from 10+ countries across the world. She built a team of motivated researchers and developers who designed and developed end-to-end decision support systems for complex business challenges of airline spanning inventory management, ancillary revenue management and cargo revenue management.

Significant Achievements: She is focused on product innovation and expanding the role of data science in driving business value. She has co-authored publications in industry journals such as the Journal of Revenue and Pricing Management and international conferences. She firmly believes in the importance of system thinking and working closely with business and product stakeholders for productive data science. She regularly offers training programs, workshops and guest speaker sessions at academic institutes and industry conferences on practical data science applied to industries.

Education: She holds an Undergraduate and Master’s degree from IIT Madras.

Joydeep Dam

Current Role & Responsibilities: Dam currently heads AI Labs for BRIDGEi2i, a unit that focuses on innovation in machine learning and artificial intelligence. With a team of some of the best minds in the business, he leads efforts in developing BRIDGEi2i’s proprietary analytical algorithms and AI-powered accelerators. In his current role, Dam and his team are working on utilising some of the cutting-edge tools and techniques to develop AI solutions that will be applicable to problems faced by enterprises. He is leading efforts towards making more adaptive recommendations, filtering signals from algorithm powered conversations, dynamic multi-dimensional anomaly detection, self-determined entity graphs among other techniques that will power platforms for AI absorption in enterprises.

Analytics & Data Science Journey: He has over 16 combined years of experience in the field of analytics, algorithm development, and quantitative disciplines. Prior to this, he has held various key positions in multiple different organisations, which primarily included different stints in a number of global banks that included Bank of America, Credit Suisse and Royal Bank of Scotland. Joydeep has a keen interest in emerging areas that have the potential to contribute to the field of analytics significantly in the future.

Significant Achievements: He was instrumental in setting up a number of different quantitative risk management groups in the banks that he has worked and led diverse groups of risk management quants, developing quantitative solutions for risk management. He has been focused on incorporating expertise from a broad range of disciplines by exploiting their commonalities to create deeper and more relevant solutions for business problems.

Education: He is an alumnus from Indian Statistical Institute (ISI), Calcutta.

Mathangi Sri

Current Role & Responsibilities: She currently leads the data sciences team at Phonepe. Having worked with various stakeholders in getting data science solutions adopted, she has the opportunity to work with senior executives, founders and CXOs. She has worked extensively with the ‘non-tech’ business stakeholders such as sales, marketing, customer care executives to adopt data-driven recommendations

Analytics & Data Science Journey: With over 15 years of experience, she has built and deployed large-scale data science solutions and has built data science teams in many places that she has worked for, from the ground up. Prior to this, she was a part of innovations and research team at Citi.

Significant Achievements: She has 14 global grants in the area of applying data sciences to service and has presented prestigious conferences including Grace Hopper conference. With a proven track record in building world-class data sciences solutions and team, she has built data science teams in large organisations and startups. She has deployed real-time modelling in the areas of indoor positioning, recommendation engines, credit risk models and chatbots. She also contributed to academia as guest faculty in institutes such as NIT Trichy, IIM Kashipur, Praxis.

Education: She has an MBA from Department of Management Studies, NIT Trichy

Saurabh Awasthi

Current Role & Responsibilities: Awasthi is currently with Cigna TTK Health Insurance and has been instrumental in bringing the cultural change across the organisation as far as data-driven decision making is concerned. He serves as the head of analytics at the company.

Analytics & Data Science Journey: He is a business and analytics leader with over 10 years of experience of working with senior executives in defining data-driven strategy, providing thought leadership and leading large multi-cultural engagements to implement analytics solutions to realise the required business benefits. He holds expertise in suggesting efficiency and effectiveness related improvements in areas including CRM, pricing & promotions, product development, customer loyalty, and underwriting & claims management using industry knowledge and leveraging advanced analytic techniques. His experience primarily consists of providing business solutions across functions in retail and insurance sector.

Significant Achievements: Awasthi has been quite passionate about the inculcation of analytics and technology into insurance —from product design to customer acquisition, underwriting, customer experience, claims management and fraud handling. He believes that data science is an art which is most effective when applied with the right business understanding. Data can definitely bring in transformational change only when captured and used with the business objective in mind.

Education: He is an IIT Roorkee graduate.

Subarna Roy

Current Role & Responsibilities: She is currently the lead data scientist in a large public sector program for IBM India. In the current role, she is responsible for the design, delivery and deployment of cutting-edge analytics solutions for policy formulation and fraud identification. As a senior managing consultant in IBM, she exhibited technical leadership in winning deals in advanced analytics space.

Analytics & Data Science Journey: She has over 14 years of experience in guiding clients in their end-to-end analytics journey in various domains like banking, retail and CPG. She has versatile experience in developing methodologies and technology for analytical models on credit risk, fraud management, regulatory risk, opportunity conversion, trade-promotion optimisation, debt forecasting, and social network analysis. Prior to IBM, Subarna has worked for HSBC, TCS and ANZ Bank.

Significant achievements: In IBM, she developed innovative quantitative techniques to deploy predictive maintenance platform for a leading mining equipment manufacturer, with an outcome of 25% reduction in equipment downtime. She is an expert in unsupervised learning and deep-learning auto-encoders.

Education: Subarna holds a PhD in applications of econometrics and game-theory from Indira Gandhi Institute of Development Research (IGIDR). She has also published multiple papers in top international journals and co-authored several white papers.

Vikas Behrani

Current Role & Responsibilities: Dr Vikas Behrani is the Principal data scientist at Genpact.  specialised in machine learning, Natural Language Processing and deep learning, leading a team of experts in NLP/ML at Genpact Analytics. At Genpact, he leads and champions the cause of data science within organisation and clients with a focus on providing business value through innovation. He firmly believes in learning every day and is an avid reader. Currently, his research is focused on developing deep learning models for natural language understanding.

Analytics & Data Science Journey: He has over 15 years of experience in statistical modelling, machine learning and deep learning in various industries such as semiconductors, manufacturing, CPG, healthcare and life sciences. He started his data journey while working on Laser Spectroscopy at Georgia Tech to automate the data collection and analysis of large amount of data by interfacing equipment with modelling tools. His past research at Intel Corporation includes equipment failure predictive analysis in semiconductor industry using IoT devices and real-time modelling of the manufacturing process for optimising processor yields.

Significant Achievements: He holds 15+ international conference and journal publications, and one US Patent under his name. He has been recognised with various awards at Intel for his contribution to the development of efficient operations through data science.

Education: He has a PhD from Georgia Institute of Technology, an MBA from Indian Institute of Management, Ahmedabad, and BTech from Indian Institute of Technology, BHU.

Vivek Prabhakar Vaidya

Current Role & Responsibilities: He is the Senior Principal scientist at Symphony AI. In his current role, Vaidya drives technologies to better predict, understand and treat cancer. He is also instrumental in engaging on the venture capital side at Symphony AI. He is passionate about using AI to fight disease and improve human health. He is currently leading a team in building a best-in-class computer-aided detection system to unlock the potential of Automated Breast Ultrasound which provides radiation-free breast cancer screening while reducing cost and increasing global access to this crucial technology.

Analytics & Data Science Journey: In his 15 years in the industry he has worked on various projects such as leading a team in building a deep learning accelerator platform to democratise AI in GE. This platform was deployed to 10 global teams. He worked on unlocking the power of general-purpose GPU in its early days to provide brain surgeons with ‘X-Ray’ vision — the ability to see through patients as they carefully plan the right route to treat cancer while minimising invasive procedures and optimising patient care. This technology was further leveraged to see into jet engines for non-invasive inspection.

Significant achievements: He has over 20 filed patents on technologies such as interactive representation transfer of deeply learned ontologies, MRI scanner automation, distributed solutions for deep learning and automating whole body spine imaging. He has developed a technology to analyse 600,000 Indian villages for needs & opportunities in the areas of healthcare, water and energy. He is also collaborating with IIIT-Hyderabad to leverage Gaze tracking to learn how expert physicians see and ‘transfer’ that information to AI algorithms. He also has over 30 publications on AI technologies and applications published at international conferences such as NIPS, MICCAI, and IPMI.

Education: He has a Bachelor’s Degree in Computer Science from Washington State University.

The post Top 10 Data Scientists In India — 2018 appeared first on Analytics India Magazine.

A primary survey was conducted in August through September 2018, where 961 current and past students from 18 cities in India gave opinions on data science courses they attended. Out of these entries, few dozens in-depth interviews were done to understand the reasons for the submissions. This exercise helped in validating the data and providing a rationale for the rankings, wherever required.

A dedicated online questionnaire was created and the link was sent to more than 30 data science schools, of which 21 responded within the stipulated time.The participants were asked to fill an elaborated form with four key parameters — course content, faculty, student experience and other attributes such as external collaboration. Some of the other details under these parameters were course comprehensiveness, post-completion engagement of students, capstone projects and others.

Seven schools were rejected because of incomplete data, lack of supporting documents or not fulfilling the eligibility criteria. The eligibility criteria for this ranking was 1) The course should be a long term program in data science/ analytics (atleast 5 months), 2) Should be executed by (or in collaboration) with a university.

Information collected from the schools was combined with information received by the students.  Out of those, we bring to you top 10 courses which have been analysed thoroughly by our team of experts. Students feedback and expert advice were also taken into consideration for the overall ranking process. Each of these parameters have been ranked on the scale of 1-5 where 1 is for worst and 5 for best. The institutes that could not be a part of the list either did not participate in the ranking process or could not make it to our list.

For top 1o courses on Artificial Intelligence in India, check this.

See our Top 10 Full Time Data Science Courses In India- Ranking 2018 here.

For top 10 data science training institute in India 2018, check here.

1. Post Graduate Program In Business Analytics And Business Intelligence (PGP-BABI) By Great Learning In Association With Great Lakes Institute of Management

Founded: 2013

Mode of delivery: Blended

Course duration: 12 Months

Number of hours: ~440 with 240 hours of classroom learning and 200 hours of online learning

Cities of operation: Mumbai, Bengaluru, Delhi NCR, Chennai, Hyderabad, Kolkata, Pune, Online

Course Fees: ₹ 395000 + GST, ₹ 170000 + GST (Online)

Great Learning is an ed-tech company that offers programs in career critical competencies such as Analytics, Data Science, Big Data, Machine Learning, Artificial Intelligence, Cloud Computing and more. Great Learning programs are taken by several thousands of professionals every year by a network of 400+ Great Learning Gurus. They boast an alumni network of more than 3000 professionals working across organisations in India and beyond.

Parameter 1: Course Content (Rating 4.9)

Comprehensiveness: PGP-BABI uses a combination of learning methods such as classroom teaching, self-learning through videos and reading materials, team-based problem solving and others. The exhaustive course curriculum includes foundation (foundation in Statistics using R, business and management concepts), analytical techniques (R, Python, Tableau SAS) and domain application and industry exposure. They have a capstone project of 3 months, while the course is updated every 6 months.

Accessing students at the end of the course: Following a continuous evaluation, the students participate in group projects, individual assignments, quizzes and group discussions in every course. Students are tested for their conceptual understanding and ability to apply various analytics techniques in real-world problem.

Learning resources: Books, downloadable resources, LMS, videos, question papers. Students can also work on a number of practice exercises and datasets provided by them.

Parameter 2: Faculty (Rating 4.9)

Total no. of faculty members: 87

Total no. of faculty members with a PhD: 31

Total no. of faculty members with industry experience: 87

Student to faculty ratio: 16:1

Parameter 3: Student Experience (Rating 4.8)

Percentage of students who completed the course: 91%

Post-completion engagement: Every graduating student becomes a Great Lakes Alumni and are invited to all alumni and networking events. They also have lifetime access to a repository of learning material which is continuously updated.

Placement assistance: They provide full placement assistance. 66% of the alumni are working across companies such as Deloitte, KPMG, Gartner, RBS, Cognizant and others.

Parameter 4: Other Attributes (Rating 4.9 )

Entry criteria for students: Industry experience required + Personal Interview

External collaboration: They have collaborated with over 400+ industry experts from companies like Microsoft, Accenture, Deloitte, EXL, WNS, Cognizant, American Express, Absolute Data, HSBC, etc. who design, deliver, and endorse the program. Other notable collaborations are with Bajaj Allianz, WNS Global, XL Catlin for Ideathons, Hackathons, live capstone projects and customized training programs

The overall rating is 4.87

2. Post Graduate Program in Data Science and Machine Learning (PGPDM) By Jigsaw Academy And University Of Chicago

Founded: 2011

Mode of delivery: Blended

Duration of the course: 10 months

Number of hours: 650

Cities of Operation: Bangalore, Delhi NCR, Hyderabad

Course Fees: ₹ 3.65 lakhs + taxes

Jigsaw Academy has been key in contributing to the evolution of analytics talent in the country, having produced over 50,000+ data scientists across the globe. They offer training on multiple popular & niche tools in Data Science, Machine Learning, Big Data and AI technologies that are used globally.

Parameter 1: Course Content (Rating 4.9)

Comprehensiveness: PGPDM includes exhaustive coverage of Data Science and Machine Learning (R, Python & SAS), Big Data (Hadoop, HDFS, Pig, Hive and Spark), and Visualization (Tableau). The program starts from the basics of statistics and covers the entire gamut of descriptive analytics, predictive analytics as well as AL & ML. It includes hands-on program from case studies across BFSI, retail, telecom, supply chain, HR and other industries. The capstone project is for more than 3 months and course is update every 6 months.

Accessing students at the end of the course: PGPDM has a multiple-assessment policy, which includes case studies, assignments, capstone projects, and more. Only those students who pass graded assignments in all the modules and those students who complete corporate projects as per the company’s satisfaction are given the final certificate.

Learning resources: Downloadable resources, LMS, videos, industry lectures, capstone projects, instructor-led classes, assignments

Parameter 2: Faculty (Rating 4.8)

Total no. of faculty members: 60

Total no. of faculty members with a PhD: 20

Total no. of faculty members with industry experience: 60

Student to faculty ratio: 1:5

Parameter 3: Student Experience (Rating 4.7)

Percentage of students who completed the course: 95%

Post-completion engagement: They are a part of the alumni network, invited as guest lectures for future batches & become a part of Jigsaw mentorship program

Placement assistance: Provided full assistance through alumni network, resume designing and helping them with interview process

Parameter 4: Other Attributes (Rating 4.7)

Entry criteria for students: Application + Interview

External collaboration: They have tie-ups the University of Chicago Graham School, along with industry associations with companies like Axteria, Analytics Edge, Tata Motors, Smart Cube, Data Semantics for projects and hiring.

The overall rating is 4.77

3. Post Graduate Certificate Program In Data Science & Machine Learning By Manipal ProLearn In Association With Manipal Academy Of Higher Education

Founded: 2016

Mode of delivery: Online

Duration of the course: 6 months

Number of hours: 650

Cities of Operation: Bangalore, the program is online and hence applicable irrespective of location

Course Fees: ₹ 84,000 + taxes

A part of MaGE, Manipal ProLearn is a pioneer in higher education and allied services. It offers a variety of cutting-edge learning solutions and professional certification courses across IT, Digital Marketing, Data Sciences, Project Management, and others. The Academy of Data Science runs the popular data science certification program to help build a community of industry-ready data scientists.

Parameter 1: Course Content (Rating 4.7)

Comprehensiveness: Designed with optimal blend of rigour and relevance, it covers in-depth and industry-relevant content. Course comprises of real-world business case studies and live online lectures from industry practitioners. It covers Java programming, advanced excel, R, introduction to Python, data visualisation tools, big data technologies, business communication and others. They do not offer capstone projects and course is updated every 6 months.

Accessing students at the end of the course: Learners undergo online quizzes for every topic and online assessments for every module.

Learning resources: Downloadable resources, LMS, videos, question papers, industry webinars on relevant topics for improved understanding of application of learning

Parameter 2: Faculty (Rating 4.7)

Total no. of faculty members: 18

Total no. of faculty members with a PhD: 5

Total no. of faculty members with industry experience: 12

Student to faculty ratio: 10:1

Parameter 3: Student Experience (Rating 4.7)

Percentage of students who completed the course: 95

Post-completion engagement: Student get access to learning content and is invited as alumni for all learning webinars, meet-ups and other activities

Placement Assistance: None

Parameter 4: OtherAttributes (Rating 4.6)

Entry criteria for students: Entrance exam

External collaboration: Manipal Academy of Higher Education, Equifax, Gramener

The overall rating is 4.67

4. PG Program in Data Science By UpGrad In Association With IIITB

Founded: 2015

Mode of delivery: online

Duration of the course: 11 months

Number of hours: 500

Cities of Operation: UpGrad is an online learning platform

Course Fees: ₹ 2,35,000

Founded by media stalwart Ronnie Screwvala, UpGrad is an online higher education platform that provides rigorous industry-relevant programs designed and delivered in collaboration with renowned faculty and industry experts.

Parameter 1: Course Content (Rating 4.6)

Comprehensiveness: The curriculum has been designed along with IIIT Bangalore and multiple industry leaders. The broad areas of focus are data management (Excel, Python, SQL, Tableau), statistical and exploratory data analysis, machine learning, big data analytics (Hive, Spark, Sqoop). The candidates select specialisation of their choice in BFS, ecommerce, retail or healthcare. The course includes capstone project of 1-3 months. The course is updated every 6 months.

Accessing students at the end of the course: Students are assessed with the help of objective questions, individual assignments, group case studies with personalised feedback by industry experts. Participation in class, online discussion forums and online proctored exams contribute to overall CGPA of the learner.

Learning resources: Downloadable resources, LMS, videos, question papers, online virtual labs for Big Data

Parameter 2: Faculty (Rating 4.5)

Total no. of faculty members: 18

Total no. of faculty members with a PhD: 12

Total no. of faculty members with industry experience: 17

Student to faculty ratio: 10:1

Parameter 3: Student Experience (Rating 4.6)

Percentage of students who completed the course: 84%

Post-completion engagement: Career support guidance for one year after course completion, access to new and re-developed content, alumni network, opportunity to mentor subsequent cohort learners.

Placement assistance: Assistance is provided through alumni network, resume designing, helping them with interview process, 1-1 mentoring by industry expert, placement drives, help identify correct job profile, resources for interview and test preparation, and others.

Parameter 4: Other Attributes (Rating 4.5)

Entry criteria for students: Entrance exam

External collaboration: The program has flagship partnership with Uber, Genpact, Fractal Analytics and Gramener. They have collaboration with 30+ analytics industry experts from leading corporations and 250+ recruitment partners such as KPMG, Tech Mahindra, Zivame and others.

The overall rating is 4.55

5. Executive Program In Business Analytics (EPBA) By Jigsaw Academy In Association With SDA Bocconi

Founded:2011

Mode of delivery: Blended

Duration of the course: 10 months

Number of hours: 650

Cities of Operation: Online, global

Course Fees: ₹ 4.9 lakhs + taxes

Headquartered in Bengaluru, it was founded by the duo of Gaurav Vohra and Sarita Digumarti, and funded by Manipal Global Education Services (MaGE). It trains professionals in the areas of Analytics, Data Science, Big Data, Machine Learning, Business Analytics, and more recently, the Internet of Things (IoT).

Parameter 1: Course Content (Rating 4.5)

Comprehensiveness: The EPBA has the most comprehensive curriculum in Data Science &, Big Data in India. Along with SDA Bocconi, it provides unique and exhaustive course which includes analytics (R, Python, SAS), Big Data (Hadoop, Pig, Hive, Sqoop, Flume, Spark and Storm), Visualization (Tableau, Power BI).  It also covers descriptive analytics, predictive analytics, machine learning, an introduction to neural networks. It involves capstone project of more than 3 months, with course updation in every 6 months.

Access students at the end of the course: Graded assignments, capstone project and viva interviews

Learning resources: Downloadable resources, LMS, videos, question papers, case studies & online content

Parameter 2: Faculty (Rating 4.5)

Total no. of faculty members: 40

Total no. of faculty members with a PhD: 25

Total no. of faculty members with industry experience: 40

Student to faculty ratio: 1:2

Parameter 3: Student Experience (Rating 4.4)

Percentage of students who completed the course: 95

Post-completion engagement: They are a part of Bocconi Alumni Network, Guest Lectures for future batches & Jigsaw Mentorship Program

Placement assistance: Full assistance through alumni network, resume designing, helping them with interview process

Parameter 4: Other Attributes (Rating 4.4)

Entry criteria for students: Application + Interview

External collaboration: Collaboration with SDA Bocconi, Milan. Industry collaboration with Axteria, Analytics Edge, Tata Motors, Smart Cube, Data Semantics, and more for projects and hiring.

The overall rating is 4.45

6. Postgraduate Certificate in Business Analytics for Management Decisions (PGCBAMD) By XLRI Xavier Institute of Management

Founded:1949

Mode of delivery: Blended

Duration of the course: 12 months

Number of hours: 300

Cities of Operation: Jamshedpur

Course Fees: ₹  2,60,000 +GST

XLRI has visualised itself to be a partner in the liberation and development journey of the independent India. Over many years XLRI has developed its own identity and is one of the most premier institutes.

Parameter 1: Course Content (Rating 4.3)

Comprehensiveness: One of the most comprehensive programs in analytics, it offers 13 core courses in four broad areas of descriptive analytics, predictive analytics, prescriptive analytics and application based courses. It provides hands-on in tools such as R, Excel, Python. Students can also opt for specialisation certificate apart from the main PGCBAMD certificate, which could be in finance, marketing, operations, HR. They do not have capstone projects. The course is updated every year.

Access students at the end of the course: The assessments are done based on assignments, quizzes, midterm and end terms exams. Attendance and class participation are also used as a criterion by some faculties.

Learning resources: Books, downloadable resources, LMS, question papers, study materials in soft copy format like PDF, ppt etc.

Parameter 2: Faculty (Rating 4.4)

Total no. of faculty members: 18

Total no. of faculty members with a PhD: 16

Total no. of faculty members with industry experience: 18

Student to faculty ratio: 36:1

Parameter 3: Student Experience (Rating 4.3)

Percentage of students who completed the course: 95

Placement assistance: None

Parameter 4: Other Attributes (Rating 4.3)

Entry criteria for students: Based on eligibility criteria and personal Interview

External collaboration: Apart from the regular faculties of XLRI, the program also has instructors who are either industry experts or are part of some other esteemed institutes like XIMB, TAPMI etc.

The overall rating is 4.32

7. PGDM/MBA in Business Analytics By REVA Academy for Corporate Excellence, REVA University

Founded: 2012

Mode of delivery: Blended

Duration of the course: PGDM – One year, MBA –  Two years

Number of hours: 960

Cities of Operation: Bangalore

Course Fees: PGDM- ₹ 3.2 Lakhs, MBA- ₹ 4.2 lakhs

RACE is an initiative of REVA University, created to develop visionary enterprise leaders for corporates. RACE offers a range of specialised, techno-functional programs specially designed to suit the needs of working professionals to enhance their careers. The flagship program in Business Analytics is well recognized by the industry.

Parameter 1: Course Content (Rating 4.4 )

Comprehensiveness: The program designed with IBM provides hands-on training on relevant software tools and business analytics framework across industries. The program covers descriptive, predictive, prescriptive and cognitive analytics in real-life scenarios. The participants work on 15 plus tools including Python, R, TensorFlow, Keras, Advanced MS-Excel, Rapidminer, Tableau, QlikView, IBM Cognos and others. They have capstone projects of more than 3 months. The course is updated every 6 months.

Access students at the end of the course: This program follows a continuous assessment and grading pattern. Evaluations are done both internally and externally. Internal assessment is based on in-class quiz, discussions, participation in the discussion, while external is based on off-campus projects.

Learning resources: Books, downloadable resources, LMS, videos, question papers, online repository of 3,000+ electronic journals, access to IEL online database.

Parameter 2: Faculty (Rating 4.3 )

Total no. of faculty members: 14

Total no. of faculty members with a PhD: 4

Total no. of faculty members with industry experience: 14

Student to faculty ratio: 4:1

Parameter 3: Student Experience (Rating 4.2 )

Percentage of students who completed the course: 90

Post-completion engagement: All the participants get to enjoy lifelong access to the LMS, job portal, hackathons, information seminars etc. They also get to write blogs, white papers and research articles in various conferences and for RACE online media.

Placement assistance: Assistance through alumni network, resume designing, helping them with interview process.

Parameter 4: Other Attributes (Rating 4.2 )

Entry criteria for students: Entrance exam and industry experience of a minimum of 4 years.

External collaboration: The program is delivered in association with IBM. Other delivery and knowledge partners include Predictive Analytics Pvt. Ltd,  Jigsaw Academy.

The overall rating is 4.27

8. Executive Program in Big Data & Machine Learning  By NMIMS Global Access School For Continuing Education

Founded: 1994

Mode of delivery: Online

Duration of the course: 9 months

Number of hours: 120 hours

Cities of Operation: Presence across 22 cities with 75+ Authorised Enrolment Partners in India

Course Fees: ₹ 1,10,000

NGASCE is India’s leading management university trusted by 35,000+ students and over 5,000 alumni members are recognised across 2,500 corporates. The programs are designed to suits requirements of working professional and provide features such as learning on the go with mobile app.

Parameter 1: Course Content (Rating 4.2 )

Comprehensiveness: The big data and machine learning executive program is powered by SAS. It covers foundation course (business statistics, basic analytics tools and concepts like predictive, descriptive analytics), ANOVA, regression analytics, logistic regression, decision trees, cluster analysis, neural networks and others. They do not offer capstone projects, and course is updated every 6 months.

Access students at the end of the course: Proctored exams conducted at designated exam centres for each module with minimum passing percentage of 50. For practical learning, students are asked to present a case analysis in their respective specialisation.

Learning resources: Books, downloadable resources, LMS, videos, question papers, 24/7 software access via AWS.

Parameter 2: Faculty (Rating 4.3 )

Total no. of faculty members: 10

Total no. of faculty members with a PhD: 5

Total no. of faculty members with industry experience: 10

Student to faculty ratio: 1:3

Parameter 3: Student Experience (Rating 4.1 )

Percentage of students who completed the course: 60%

Post-completion engagement: Students are provided with a certified e-badge that can be tagged on professional networks such as LinkedIn and other social media pages.

Placement assistance: Partial assistance through alumni network

Parameter 4: Other Attributes (Rating 4.1 )

Entry criteria for students: STEM background required

External collaboration: This program is designed in collaboration with SAS.

The overall rating is 4.17

9. Post Graduate Executive Certificate Program (PGEP) in Data Science & Big Data By IMT

Founded: 1980

Mode of delivery: Blended

Duration of the course: 6 months

Cities of Operation: Ghaziabad

Course Fees: ₹ 80,000 + GST*

IMT Ghaziabad is a fully autonomous university and offers several postgraduate, doctorate and executive education programmes in management.

Parameter 1: Course Content (Rating 4.1 )

Comprehensiveness: The curriculum combines academic excellence and industry relevance to facilitate the participants learn analytics and big data tools (Apache), followed by in depth and advance level of statistical and quantitative. Students are given hand-on exposure to tools such as R, SAS, Python, Hive, Cloudera, data visualisation tools, and others. It includes capstone projects with top analytics companies. The course is updated every year.

Accessing students at the end of the course: Continued evaluation of students throughout the course.

Learning resources: Downloadable material, access to analytics labs during tenure of course

Parameter 2: Faculty (Rating 4.0 )

98% of in-house faculties having PhD.

Parameter 3: Student Experience (Rating 4.1)

Percentage of students who completed the course: 90%

Post-completion engagement: Candidates get IMT MDP alumni status. ICDM, a data management conference is organised by the institute.

Placement assistance: Students opting for this course are provided with placement support.

Parameter 4: Other Attributes (Rating 4.0)

Entry criteria for students: Industry experience

External collaboration: IMT has many industry associations and international collaborations. IMT has 50+ International collaborations towards various academic modules co-teaching and joint learning.

The overall rating is 4.05

10. Post Graduate Certificate in Business Analytics & Big Data By IFMR

Founded: 1970

Mode of delivery: Classroom

Duration of the course: 10 months

Number of hours: 266

Cities of Operation: Chennai and Sricity

Course Fees: ₹ 2.5 Lakhs

IFMR has been successfully offering PhD programs, MBA programs and executive programs for more than 2 decades now. It was established in 1970 as a not-for-profit society and has been sponsored by ICICI, the House of Kotharis and other major industrial groups. The board includes experts from Yale University, IISC Bangalore, and others.

Parameter 1: Course Content (Rating 4.0)

Comprehensiveness: Curriculum encompasses three important dimensions— mathematics & statistics, programming and application domains. It includes programming skills such as R and Python, predictive analytics, data mining and machine learning. Participants are provided hands-on sessions on SPSS Statistics, SPSS Modeler etc. It includes capstone projects of 1-3 months and course is updated every year.

Accessing students at the end of the course: Participants have to take a written examination after the completion of each module, which is evaluated by faculties. Candidates also have to submit POC during the last 3 months, which is also evaluated.

Learning resources: Books, downloadable resources, videos, question papers, class notes, powerpoint slides

Parameter 2: Faculty (Rating 4.1)

Total no. of faculty members: 16

Total no. of faculty members with a PhD: 7

Total no. of faculty members with industry experience: 11

Student to faculty ratio: 1:1

Parameter 3: Student Experience (Rating 3.9)

Percentage of students who completed the course: 90

Post-completion engagement: Alumni group is set up for continued engagement

Placement assistance: Partial assistance through alumni network, resume designing, helping them with interview process, setting up interviews for the participants

Parameter 4: Other Attributes (Rating 3.9)

Entry criteria for students: Industry experience required

External collaboration: We have a collaboration with IBM for joint certification for the program. The IBM collaboration gives us specific expertise in some industry domains such as BFSI, Telecom, Health care and manufacturing.

The overall rating is 3.98

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