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.