Olga Grohmann

As AI moves from proof-of-concept to mission-critical in the sector, the real differentiator isn’t the model—it’s the data foundation beneath it. This fireside chat explores how leading BFSI organizations are re-engineering their data stacks to be built-for-purpose with AI in mind, embedding governance, semantic layers, and real-time pipelines from the start. Join us to hear how AI-native architectures can unlock trusted insights, faster innovation, and regulatory confidence.

• Discover how AI-first data architectures reduce risk and accelerate value creation in regulated BFSI environments.

• Learn how to embed governance, semantic layers, and feature reuse into your stack to support both analytics and AI.

• Understand the role of real-time pipelines, unstructured data, and vector search in enabling next-generation customer experiences