This session will explore the evolving role of data engineers. Data engineering is currently a bottleneck due to overwhelming requests and complex knowledge work. Maia acts as a "digital data engineer" or a "virtual data team" that amplifies productivity by 100x. It enables users, from skilled engineers to citizen data analysts, to author pipelines in natural business language. The session will demonstrate Maia's ability to accelerate mundane and advanced tasks,troubleshoot and debug pipelines in real-time, and generate high-quality, auditable pipelines using Matillion's proprietary, human-readable Data Pipeline Language (DPL), which avoids "spaghetti code" common with generic LLMs.

This session features Joe, Matillion's Principal Solution Architect, in conversation with Alex R from EDF, a Lighthouse customer. EDF has already experienced the business value of Maia, with a 75% reduction in data science product delivery time and streamlining hundreds of jobs into a unified system. The discussion will highlight how Maia delivers

unprecedented productivity gains by helping customers move from legacy systems to an AI-driven data future, addressing tech consolidation and eliminating data friction. The Lighthouse program grants participants direct access to Matillion's product and engineering teams, fostering joint development and shared roadmaps, and aims to produce public-facing case studies