Join Sigma's data platform team for an inside look at J.A.K.E. (Just Another Knowledge Engine), a production-grade AI agent powered by Snowflake Cortex that integrates directly into Slack and Sigma, allowing teams to interact with Snowflake in the tools they use every day.

More than a question-answering agent, J.A.K.E. serves as a self-healing semantic architecture that actively maintains dbt metadata, dimensional business metrics, and Snowflake semantic views. By converting modeling frameworks into machine-executable logic, J.A.K.E. automatically generates and updates semantic definitions that would otherwise require weeks of manual effort.

In this session, you'll see how Sigma uses AgenticOps patterns to capture query failures, identify root causes, and automatically patch semantic definitions through a governed remediation workflow. The result is a continuous learning loop that improves analytics accuracy, strengthens trust in AI-generated answers, and reduces the operational burden of semantic layer maintenance.

You'll Learn How To:
- Generate and maintain Snowflake semantic views with - AI-powered automation
- Convert modeling frameworks into machine-executable semantic logic
- Capture query failures and identify root causes automatically
- Build continuous learning loops that improve AI answer quality over time
- Apply AgenticOps principles to govern AI agents in production

Live Demo Highlights:
- Cortex AI-powered analytics in Slack
- Automated semantic view generation
- Query failure detection and root cause analysis
- AI-generated semantic layer fixes
- The self-healing loop in action

Register to see J.A.K.E. in action!