Annal Tamizhnambi

RAG got you the demo. Context engineering gets you from pilot to production. The gap between a working pilot and a production-grade agentic system isn't better prompts or bigger models - it's the data and knowledge infrastructure underneath. Production agents need more than document retrieval: they need governed data products, semantic resolution, multi-source federation, domain knowledge graphs, versioning, and provenance - all delivered through a unified context layer. In this session, we present the Unified Context Stack built on top of lakehouse platforms based on our experience from enterprise deployments. We walk through the building blocks that production agents demand but pilots ignore: a Context Graph Fabric, Unified Access Layer and an Agents plane powered by Databricks ecosystem. Join us to learn our phased adoption journey - starting with metrics view on your existing lakehouse and evolving incrementally toward an agent-ready context platform.