About

Data teams are under growing pressure, facing bottlenecks that slow BI, Data Science, and Analytics. In this session, Joe Herbert, Principal Solution Architect for Maia at Matillion, explores how Machine-Scale Data Engineering powered by Maia, Matillion’s agentic AI platform, eliminates these challenges. Acting as a virtual data engineer, Maia translates natural language into clean, production-ready code in Matillion’s Data Pipeline Language (DPL) – delivering up to 100x productivity gains while ensuring governance and auditability.

Takeaways

• How agentic AI removes data engineering bottlenecks
• Generate governed pipelines from natural language with Maia
• Achieve up to 100x productivity gains
• Preview upcoming features: Semantic Layer, Context Files, A2A communication.