What is model registry and why is it important?

A model registry stores, versions, and manages lifecycle stages of ML models.

It tracks model artifacts, metadata, metrics, and deployment status. It enables promotion between stages like staging, production, and archived. It ensures governance and reproducibility in ML systems.