Continue the conversation from Building High-Quality AI Workflows with the dbt MCP Server in this interactive roundtable. We’ll explore how dbt’s MCP Server connects governed data to AI systems, dive deeper into the practical use cases, and talk through how organizations can adopt AI safely and effectively. This is your chance to: Ask detailed technical questions and get answers from product experts. Share your team’s challenges and learn from peers who are experimenting with MCP. Explore what’s possible today and influence where we go next. Attendance at the breakout session is encouraged but not required. Come ready to join the discussion and leave with new ideas!

Modern data teams are tasked with bringing AI into the analytics stack in a way that is trustworthy, scalable, and deeply integrated. In this session, we’ll show how the dbt MCP server connects LLMs and agents to structured and governed data to power use cases for development, discovery, and querying.

Over the past 8 years, dbt, Cloud data warehouses and the dbt viewpoint have dramatically changed the workflow for data practitioners, raising the bar on what great data work looks like and altering the nature of the types of problems we focus on day to day. Jason Ganz lived this transition firsthand and now, he believes, we’re on the cusp of another transformation in how data work gets done. Come hear about how new technologies like Generative AI and new workflows like the Analytics Development Lifecycle will transform data work and how to think about that in your own role and career trajectory.

Speaker: Jason Ganz Senior Manager, Developer Experience dbt Labs

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements