Loading…
Glossary term
Practices for deploying, monitoring and maintaining machine learning systems in production.
MLOps applies the discipline of software operations to machine learning: version control for data and models, automated training and testing, deployment pipelines and monitoring in production.
The aim is to move models from a notebook to a reliable, maintained service.
Most of the work in real AI products is keeping systems running well, which is what MLOps covers.