Firsthand insight on the key challenges facing you and your peers

Hear how your peers have solved key challenges you face today in our just announced case study presentations.

Gopal Subramanian

SVP, Data Services & Analytics Asset Management Technology

Fidelity Investments

Five Key Lessons Learnt from Fidelity’s Business Transformation through AI/ML


Fidelity is a large financial services organization with USD2.7 trillion under management and USD7.4 trillion under administration. Fidelity’s Asset Management business unit is on a journey to use AI/ML solutions to help business make better decisions.


In this case study, you will get insights into the five critical lessons that they have learned on the way to become an AI powered organization.

1) How to identify correct AI use cases

2) Need for an AI platform strategy

3) Technology choices for AI use cases including next generation data architecture

4) Need for a new software development lifecycle

5) The culture changes required.

More about Gopal:

Gopal Subramanian is Senior Vice President of Data Services and Analytics for Asset Management Technology group, a business unit of Fidelity Investments. Mr. Subramanian has been in his current position since 2008 and is responsible for managing data and analytics for Asset Management. 


Prior to his 19-year tenure with Fidelity, Mr. Subramanian worked for numerous technology start-up firms leading their data mining and predictive modeling efforts. Mr. Subramanian often speaks at various industry conferences. He received his MBA from Boston University.

Dr. Mark Ramsey

Former: SVP, Chief Data & Analytics Officer


Creating a Modern Data Management Environment to Drive Analytics Readiness


This session will highlight how a major pharmaceutical company implemented a large scale, production class, big data & analytics platform in less than a year leveraging bots, machine learning and data pipelines. Learn how the technologies were applied to the data sources, ingestion and rationalization processes to accelerate the implementation of an analytics-ready data ecosystem.

More about Mark:

Dr. Ramsey holds a bachelor degree in Computer Science, an MBA with specialization in Computer & Information Security, and a Ph.D. specializing in Applied Computer Science. His dissertation work on Exploring the impact of inferred social networks on the accuracy of churn prediction models in the mobile phone industry resulted in a US patent.


Mark was the R&D Chief Data & Analytics Officer for GSK. He led the Data & Computational Sciences team responsible for the transformation of R&D through the application of artificial intelligence, machine learning, and analytics on internal and external data to drive data-driven decision making.  Mark led the development of the R&D Information Platform which serves as the foundation of the data strategy. Integrating an ecosystem of nearly two dozen technologies, RDIP provided a production, large scale environment to support data consolidation, rationalization, and analytics on complex data ranging from genetics to bioassays. Mark has been recognized as one of the Top 100 Innovators in data & analytics. Prior to GSK, Dr. Ramsey was the first Chief Data Officer (CDO) for Samsung Mobile, reporting directly to the President. He was responsible for enterprise-wide governance and utilization of information as an asset, through data consolidation, business intelligence, big data, and advanced data mining. Prior to Samsung, he held the position of Vice President, Business Analytics & Optimization, Growth Markets for IBM. In this role, he was responsible for setting the strategic direction and operational management of the IBM Business Analytics & Optimization services division for eight growth markets including South East Asia, India and South Asia, Greater China, Korea, Australia/New Zealand, Central and Eastern Europe, Middle East and Africa and Latin America.

Dr. Ramsey started at IBM in 1995 and was one of the pioneers in the creation and expanded focus on data and analytics. Ramsey was named an IBM Master Inventor in 2010 for his role as an inventor in over 50 patent filings which resulted in the issuance of 29 patents focused on business intelligence and business analytics.

Nallan Sriraman (Sri)

Global Head of Technology - Data & Analytics


Democratizing Access to the Data through a Trusted Data Lake

Data Lakes are emerging as a critical data management component aimed at limiting traditional enterprise data silos and enabling agile access to all the data needed for faster decision making. This session will highlight how Unilever creates and leverages a trusted data lake design to help democratize access to enterprise-wide data, and how this trusted data lake forms the foundation for all future machine learning/ AI ambitions. This session will also share implementation best practices developed by Unilever on building and operationalizing trustworthy insights and ML models on a data lake.

More about Sriraman

As the Global Head of Technology, reporting to Global CIO of Unilever, Sri is responsible for Technology Strategy, and application development of all data, information and analytics capabilities for Unilever. He joined Unilever in Sept 2017, and is responsible for building the foundational capabilities like Data Lake, Machine learning and deep learning systems that will enable Unilever becoming AI driven.


Before joining Unilever, he spent 21 years at Thomson Reuters in various senior roles including VP of application development, Chief Architect and led Reuters Innovation Lab in New York. Before Reuters, Sri had consulted for four years on large-scale systems implementations and provided architecture and technology strategy expertise to a variety of companies including AIG, Compuserv, Ramco Systems.

Dr. Avik Sarkar

Former: Head - Data Analytics Cell, NITI Aayog

Government of India

The AI and Analytics Adoption Strategy for Public Sector

Government of India is embracing analytics and AI for inclusive growth and better service delivery. This session highlights the transformative journey of how the government is using data analytics for governance, co-operative federalism in working with states and measuring various aspects of government programs to ensure they are on track. Dr Sarkar will also talk through the future roadmap of NITI Aayog in playing the critical role of a catalyst in supporting partnerships, providing access to infrastructure, fostering innovation through research and creating the demand by seeking solutions for addressing various governmental needs.

More about Avik:

Dr Avik Sarkar is an Officer on Special Duty (OSD) at NITI (National Institution for Transforming India) Aayog, a premier policy think-tank of the Government of India. Dr Sarkar is in-charge of the Data Analytics Cell developing roadmap for use of data, analytics and artificial intelligence for Governance and Policy making along with providing analytical insights for policy making across sectors like Direct Benefit Transfer, Innovation, Digital payments, Healthcare/Nutrition, Agriculture, etc. Dr Sarkar has over 15 years of experience across different aspects of data analytics, statistical modeling, data/text mining across companies like IBM, Accenture, Nokia, NASA, Persistent Systems, etc. In his last role at Accenture Consulting (Singapore), Dr Sarkar contributed to various data and analytics related engagements with Singapore Government. 

Deep Thomas

Chief Data and Analytics Officer

Aditya Birla Group

 How to Channelize Innovation and Disruption for Organizational Transformation

Innovation has been the cornerstone of all human evolution. Numerous evidences have been documented about how early humans used inventive approaches to survive in unpredictable environments and made steady progression into culturally advanced ecosystems. Likewise, companies today are faced with unprecedented changes in their business environment owing to volume of data and overwhelming technology disruptions. Surviving and leading in this new business landscape requires companies to continuously re-think and re-design their business models in line with the right leadership (emotional intelligence) and ‘responsible AI’. Through this session, the speaker presents his thought leadership in leveraging organizational capability and cultivate the culture of innovation and collaboration to stay ahead.

More about Deep:

Deep is a reputed analytics expert, thought leader and a passionate evangelist of data science with a distinguished career spanning more than two decades of delivering sustained and increasing profitability through analytics-led business transformation. As the Chief Data & Analytics Officer for Aditya Birla Group, Deep is at the helm of steering organization-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 multinationals like Citigroup, HSBC and American Express to steer global agenda and leverage the power of data to its fullest potential”.

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