Join us on Product in Data as we dive deep into Uber's game-changing ML platform, Michelangelo. Discover how this powerhouse system orchestrates millions of predictions per second, enabling everything from your next ride ETA to UberEATS delivery times. We'll explore how Uber tackled the challenges of building a scalable ML infrastructure, why a centralized feature store became their secret weapon, and what lessons product teams can learn from their journey. Whether you're a product manager, data scientist, or tech enthusiast, this episode uncovers the architecture decisions and strategic choices that transformed Uber into a data-driven machine. Get ready to understand how modern tech platforms balance speed, scale, and reliability in the real world.