Explore scaling AI applications using Ray in this conference talk from ODSC East 2019. Learn about Ray's high-performance distributed execution engine and its libraries for AI workloads from Richard Liaw and Eric Liang of UC Berkeley's RISELab. Discover how Ray's API enables seamless scaling from interactive development to production clusters, covering Tune for hyperparameter optimization and RLib for reinforcement learning. Gain insights into Ray's architecture, use cases, and performance benefits for developing next-generation AI applications that continuously interact with and learn from their environment.