Model Registry

The process of making an AI model available for inference by deploying it behind an interface that accepts requests and returns predictions or generated outputs.

A structured plan for deploying software or AI model updates safely to production while minimizing disruption.

An automated workflow that builds, tests, validates, and deploys applications or AI systems across development, staging, and production environments.

The practice of continuously tracking an AI model's performance, behavior, usage, and operational health in production.