Abhinav Vadrevu

In this 90-minute hands-on lab, you'll learn how to build governed, compliant AI applications faster using Snowflake Semantic Views and Snowflake CoCo, a pattern applicable across any industry. Using Snowflake Semantic Views, Cortex AI, Cortex Search and Snowflake CoWork, you'll deploy an AI-powered agent that lets anyone query both structured and unstructured data in natural language without writing code. The lab uses a concrete example, combining structured data (FEMA risk scores, CDC social vulnerability indices and 3.5 million building footprints from OvertureMaps) with unstructured policy documents from the State of Louisiana, but the skills translate directly to finance, healthcare, retail, logistics or any domain where structured records and unstructured content need to work together.

Stop struggling with fragmented logic and start building a trusted data foundation in minutes. Join us to see how easy it is to create Snowflake Semantic Views that turn raw data into governed, actionable insights. We’ll demonstrate how our connected ecosystem allows your business logic to flow seamlessly from your data cloud to your AI agents and BI tools. This session also features a live demo of our latest "easy-to-build" semantic innovations.

Unlock the power of your structured data with Cortex Analyst, Snowflake’s AI-driven text-to-SQL feature. This session will demonstrate how enterprises can set up semantic models to query databases using natural language with >90% accuracy. We'll start with what it takes to set up Analyst, and end with a demo of Analyst running on a publicly available dataset.