Meaning of MLOps (Machine Learning Operations)

Simple definition

MLOps is the practice of combining machine learning development with software engineering and operations to streamline the deployment, monitoring, and maintenance of ML models.

How to use MLOps (Machine Learning Operations) in a professional context

MLOps ensures that ML models are consistently retrained, monitored for performance, and integrated smoothly into production environments.

Concrete example of MLOps (Machine Learning Operations)

A retail company uses MLOps to automate retraining its recommendation system weekly using the latest customer behavior data.