Back to Glossary MLOps A set of engineering practices that applies DevOps principles, automation, version control, continuous integration, and monitoring, to the full machine learning lifecycle, from data preparation and model training to deployment, performance monitoring, and retraining. MLOps platforms help organizations operationalize ML models reliably at scale, reducing the time from experiment to production while maintaining model accuracy,… A set of engineering practices that applies DevOps principles, automation, version control, continuous integration, and monitoring, to the full machine learning lifecycle, from data preparation and model training to deployment, performance monitoring, and retraining. MLOps platforms help organizations operationalize ML models reliably at scale, reducing the time from experiment to production while maintaining model accuracy, fairness, and compliance over time.
