Over the past several years, enterprises have made significant investments in data platforms, governance frameworks, and analytics capabilities. Yet as AI initiatives accelerate, many organizations are finding that their data environments remain fragmented, misaligned, and difficult to operationalize at scale. What was intended to be a strategic asset is often still functioning as a constraint - slowing down AI adoption, limiting visibility, and creating disconnects between technical capabilities and business priorities.
As AI becomes more deeply embedded into core business functions, data strategy is being reframed as a business-critical discipline rather than a technical function. Organizations are redefining how data is governed, prioritized, and funded - placing greater emphasis on aligning data initiatives to revenue generation, risk management, and operational performance. This shift requires clearer ownership models, tighter integration between business and technology teams, and more disciplined approaches to measuring the impact of data investments across the enterprise.
Please Note - this is not a passive event. At the end of the speakers’ presentation, all attendees are expected to actively participate in the discussion and contribute real-world challenges and solutions.
Topics of discussion will include, but not be limited to:
- How enterprise data strategies are being realigned to directly support AI initiatives, revenue growth, and operational performance
- Where existing data investments are failing to deliver business value, and how organizations are reassessing priorities, funding models, and execution approaches
- How ownership and accountability for data are being structured across business and technology functions to improve alignment and outcomes
- The approaches being used to measure the business impact of data initiatives, including performance metrics tied to revenue, risk, and efficiency
Amit Shivpuja, Director of Data Product & Artificial Intelligence Enablement, WALMART
Sundar Krishnan, Director, Artificial Intelligence & Machine Learning, OPTIMUM
Sai Krishnan Mohan, Vice President, Data & Analytics, BAJAJ AUTO
Subba Rao Katragadda, Senior Principal Data Engineer, JOHNSON & JOHNSON MEDTECH
Moderator: Vijay Jakka, Former Digital, AI, Analytics & Data Governance Global Leader, METLIFE
