You want to scale your use of AI, but you are blocked by production issues. MLOps will get your AI projects out of the lab and into production where they can generate value and help transform your business. With MLOps, your Data Science and IT Operations teams can collaborate to deploy and manage models in production.
MLOps also recognizes that models need to be updated frequently and seamlessly. In this 15-minute podcast produced by Data Science Central, you’ll discover how model lifecycle management supports the testing and warm-up of replacement models, A/B testing of new models against older versions, seamless rollout of updates, failover procedures, and full version control for simple rollback to prior model versions.