Iceberg for Agents: Turn Data Into Context To Power Enterprise AI

AI agents are transforming how enterprises operate—but there’s a problem. These systems can reason, plan, and take action, yet they know nothing about your business. The result? Hallucinations, unreliable outputs, and AI initiatives that stall before delivering value.

The missing ingredient is context. Data access isn’t enough, you need meaning.

This session reveals why your lakehouse is the foundation for enterprise AI and how Apache Iceberg enables the architecture that turns raw data into trusted context for AI agents. You’ll discover why most approaches to grounding AI in enterprise data fall short, what separates organizations achieving 80%+ accuracy from those stuck at 20%, and how open standards are creating a future where every component in your stack is swappable without vendor lock-in.

Whether you’re a data leader charting AI strategy or a practitioner building the systems that power it, you’ll leave with a clear blueprint for making your data AI-ready.