Oskar Stal, VP of Personalization at Spotify, shares how Spotify ensures each of their 365 million listeners has a personal and unique experience as they each explore and enjoy the music they love. In this keynote, Oskar shares Spotify's evolution in machine learning from a single recommendation feature that engineers worked on in their spare time, to the wide-scale deployment of multiple personalized content recommendations, for each Spotify user. He shares how Spotify uses numerous sources of data to create a personal experience. Oskar also discusses how Spotify uses reinforcement learning to maximize short- and long-term recommendation objectives to build long-term user engagement. What makes a good content recommendation? How should you optimize recommendations to build a lifetime of loyal membership? How can you use simulation to train better recommendation models? Join this session to learn Spotify uses AI to build personalized listening experiences.