Karthik Ravindran

We don't have an AI gap. We have an impact gap. Companies are pouring money into AI, yet most can't point to real results. Why? Because they started with the technology instead of the people and purposes it's meant to serve. In this talk, we will unpack with applied learnings, the less spoken of fundamentals of leading impactful AI transformation, framed as AI H.O.P.E.

In the 11th year of Big Data LDN, in its flagship keynote debate, conference chair and leading industry analyst Mike Ferguson welcomes executives from leading software vendors to discuss key topics in data management and analytics. Panellists will debate the challenges and success factors in building an agentic enterprise, implementing and sharing AI context, creating AI ready data, the rising importance of unified data and AI governance, data architecture changes needed for AI, how best to deal with real-world customer challenges, and issues on-the-horizon that companies should be planning for today. Attendees will learn best practices for data and AI implementation in a modern data and AI -driven enterprise from seasoned executives and an experienced industry analyst in a packed, unscripted, candid discussion.