Operationalize analytics agents: dbt AI updates + Mammoth’s AE agent in action

🌐 Global friendly sessions on January 27 & 28

Agentic workflows promise faster analytics, but many teams are finding that speed without governance leads to inconsistent results, broken trust, and more rework. When AI agents operate without shared context, quality suffers and delivery slows, rather than accelerating.

In this webinar, you’ll see how dbt makes agentic analytics practical, secure, and reliable. Learn how teams are using the now-GA dbt MCP server to enable agent-driven automation across the analytics stack—without sacrificing data quality, governance, or control.

You’ll also hear directly from Mammoth Growth, who will demo what analytics agents look like in real production environments. See how they built an Analytics Engineering (AE) Agent on the dbt MCP server to streamline workflows, reduce manual effort, and ship trusted analytics faster.