Uniting the AI/ML and traditional software supply chain starts by operating from a single source of truth. Your AI/ML artifacts should live alongside your traditional software artifacts. The standard practices your DevOps team have implemented for building and deploying traditional software applications should be applied to AI/ML development and deployment.

With JFrog’s new Machine Learning Repository and FrogML SDK you can easily bring DevOps practices into your AI/ML workflows with zero disruption for Data Science and AI developers. This hands-on webinar will show you how to build and store your models with JFrog as your advanced model registry. See how JFrog makes it easy to version, promote, and distribute models.