AI Analytics with Snowflake Cortex Code + Omni

Data engineering and analytics engineering have traditionally operated in separate worlds. While one builds the foundation and the other builds the insights, the gap between them is where velocity dies, metric definitions drift, and AI initiatives break down. For Snowflake customers using legacy tools like Looker or Power BI, getting AI into production analytics is not just a modeling problem. It is a workflow problem.

To bridge this divide, teams need a unified workflow that connects metrics and context across the entire stack. By combining Omni’s agent skills with Snowflake Cortex Code (CoCo), we are closing the gap between data engineering and business intelligence. This approach allows you to define metrics once, enforce consistency everywhere, and manage both sides of the stack through a single, streamlined interface.

In this hands-on lab, we will demonstrate a live end-to-end workflow using Omni and Snowflake Cortex Code. Specifically, we will:

• Go from raw data to a governed Omni model without leaving VS Code.
• Automate semantic modeling, join logic, and metric definitions with a single prompt.
• Build a production-ready dashboard using Omni’s AI to finalize visualizations.
• Sync Omni metrics back to Snowflake as Semantic Views to ensure consistency across Cortex Analyst and notebooks.

Attendees will leave with a blueprint for a modern, AI-driven data stack that eliminates technical silos. You’ll learn how to maintain trusted, consistent definitions across every downstream tool while significantly accelerating your development velocity. Join us to see how to transform your warehouse development from a manual chore into a seamless, governed AI experience.