How Spotify Sped Up ML Research and Prototyping with Ray

Discover how Spotify leveraged Ray to accelerate machine learning research and prototyping in this insightful 32-minute conference talk. Explore the journey of Ray's adoption at Spotify, from initial evaluation to integration with internal infrastructure. Learn about the benefits of using Ray as a distributed computing platform for non-standardized ML workflows, including improved model development experience, instant access to distributed computing, and a more expressive programming interface. Gain valuable insights into building and managing Ray infrastructure, best practices learned along the way, and real-world ML applications developed by Spotify users with Ray's assistance. Understand how Ray complements existing production ML workflows and empowers researchers and data scientists at Spotify.