Discover how to revolutionize recommender systems through distributed model training in this insightful 22-minute conference talk by Susrutha Gongalla, Principal Machine Learning Engineer at Stitch Fix. Explore cutting-edge techniques for enhancing the performance and scalability of recommendation algorithms, and learn how to leverage distributed computing to handle massive datasets and complex models. Gain valuable insights into optimizing machine learning pipelines for production environments, and understand the key strategies for implementing efficient, high-performance recommender systems in real-world applications.