MLOps — Machine Learning Operations
Definition: The discipline of deploying, monitoring, and maintaining ML models in production — combining ML, DevOps, and data engineering.
Example
Without MLOps, a brilliant model trained in a notebook never makes it to actual users.
When you'll hear it
MLOps shows up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. When someone uses it, they're usually referring to machine learning operations — and they expect the room to already know what that means.
FAQs
What does MLOps stand for?
MLOps stands for Machine Learning Operations.
What does MLOps mean in AI and machine-learning?
The discipline of deploying, monitoring, and maintaining ML models in production — combining ML, DevOps, and data engineering.
Where will I hear MLOps used at work?
MLOps comes up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. It's used as shorthand for machine learning operations, so people assume you already know the term.