Real time ML at Roku
Learn how Roku scales real-time feature serving and speeds ML model development with Chronon
Learn how Roku scales real-time feature serving and speeds ML model development with Chronon
This proposal outlines a presentation on Roku's approach to achieving real-time feature serving at scale and dramatically improving the development velocity for our ML models. We will cover the entire ML development lifecycle, from initial training to production deployment. A key focus will be on how we leveraged open-source projects, such as Chronon, to facilitate incremental aggregations for efficient feature computation.
