🎥 Recorded live at the MLOps World | GenAI Summit 2025 — Austin, TX (October 8, 2025) Session Title: Michelangelo (Uber’s ML Platform): Going Open Source Speakers: Sally Lee, Sr. Staff Engineer (TLM) & Eric Wang, Sr. Staff Engineer, Uber Talk Track: Latest MLOps Trends Abstract: Michelangelo is Uber’s end-to-end machine learning platform — the backbone that powers predictive and generative AI across the company’s most critical applications. In this session, Sally Lee and Eric Wang unveil Michelangelo’s architecture and discuss the exciting next step: open sourcing the platform to bring its capabilities to the broader ML community. They share insights on how Uber teams use Michelangelo to build, deploy, and scale models seamlessly, enabling everything from real-time demand prediction to intelligent routing and AI-powered safety systems. This talk also outlines the open source roadmap for Michelangelo and how early adopters can collaborate with Uber to shape the future of open, enterprise-grade ML infrastructure. What you’ll learn: • How Uber’s end-to-end ML platform powers predictive and generative AI at scale • The architecture behind Michelangelo’s unified ML system • Why Uber is open sourcing Michelangelo and what that means for the ML community • How early adopters can engage and collaborate in this initiative.