Large Language Models and Generative AI are no longer just research curiosities — organizations are now actively integrating them into their data platforms to unlock new forms of intelligence. This session examines how modern enterprises are embedding LLMs into their data stacks: from natural language interfaces for querying data warehouses, to AI-assisted data quality and documentation, to Retrieval-Augmented Generation (RAG) architectures that keep AI grounded in your own data. We'll cover practical patterns, pitfalls, and a live architecture walkthrough