AI Playbook for Data Teams Workshops

Your team will be able to: Your team leaves with a one-page decision map — which Databricks or Snowflake AI tool to use, for which user, for which task — plus a working sense of how these tools connect to Git, MCP, and your existing pipelines instead of operating in isolation.

For data analytics managers whose team has been re-titled from analyst to 'engineer' or 'architect' and handed AI coding agents without the operating model to use them safely. Not a feature tour — a decision map. Covers Databricks Genie, Assistant, and the Mosaic AI Agent Framework alongside Snowflake Cortex Analyst, Copilot, Cortex Agents, and Snowflake Intelligence: what each is, who it's for, and what specifically breaks when it's used for the wrong job. Includes a hands-on look at where these tools have to integrate with Git review, MCP connections, and data ingestion/transformation — because in practice nobody uses one tool in isolation. Part 1 of a two-part series; Part 2 (Snowflake & Databricks AI FinOps) goes deep on cost governance and locked-down MCP integration for teams that have already had a cost or stability incident.