Serving Predictive Models with Redis

One of the challenged faced by enterprises attempting to implement a machine learning strategy is the lack of frameworks and infrastructure for deploying predictive models. Many frameworks exist today to address the problems of training (learning) predictive models, but frameworks are only just emerging for solving the serving side issues. This talk looks at how Redis can be used to build a real-time inference engine to serve predictive models learned through Spark or other ML frameworks.

Head of Developer Advocacy for Redis Labs.