Grounded AI in Data Warehousing: How to Make Your LLM Stop Lying [Engelstalig]

Hallucinations from AI can destroy trust in BI outputs. This live, technical session walks through building an LLM-powered analytics assistant that only answers from governed, verified data. Using Snowflake Cortex Semantic Models, Cortex Analyst, and Cortex Search, we’ll map business terms to actual definitions, auto-generate safe SQL and trace every step for auditability. You’ll see the full stack in action, with architecture diagrams and code patterns you can implement.

Key takeaways:

• How to ground LLMs in your semantic layer
• How to integrate text-to-SQL safely in BI workflows
• How to make AI outputs traceable and defensible
• How to connect unstructured docs and structured data in one system
• How to design observability into AI so you know when it fails.