The ability to integrate and unify diverse data sources is more critical than ever in the world of Agentic AI. Apache Iceberg provides a powerful foundation for building a central source of truth, ensuring reliable, scalable, and efficient data management. When combined with Dremio’s ability to integrate Iceberg with a long tail of disparate data sources, organizations can seamlessly deliver high-quality, well-prepared data to Agentic AI tools.

We’ll explore how Apache Iceberg enables consistent and performant data access, how Dremio unifies Iceberg with other data in Data Lakes/Databases/Data Warehouses, and how these capabilities empower AI frameworks like LangChain to drive intelligent automation. Through a hands-on example, we’ll demonstrate how to query and transform data stored in Iceberg, making it AI-ready and unlocking the full potential of Agentic AI applications. If you're looking to build a modern data architecture that fuels AI with governed, high-quality data, this talk is for you.