MLOps

Machine Learning Operations; the set of practices combining machine learning, DevOps and data engineering to reliably and efficiently deploy, manage and monitor ML models in production.

The practice of managing AI models in production; deploying, monitoring, updating and maintaining them. It's the bridge between building an AI in a lab and running it reliably in the real world.

MLOps provides the operational backbone for AI governance. Without robust MLOps practices, governance policies cannot be consistently enforced across the AI lifecycle. Investing in MLOps capability is a strategic enabler for scalable AI governance.