MLOps Workshop: Build and Deploy Recommender Systems

We've Rescheduled! Join us on Tuesday, May 14th, at 8 A.M. PT, when our CEO and founder, Simba Khadder, will demonstrate using MLOps tools to build and deploy a recommender system. For use cases like recommender systems, feature engineering and data pipelines are critical to their performance. These use cases also often have to grapple with problems such as low latency serving, embeddings, and streaming data. Feature stores are a core solution a wide range of these problems. They streamline machine learning workflows for data scientists by unifying feature engineering processes. They provide consistent and reusable features across various models. Towards the end of the session, there will also be time for Q&A.