MLOps (Machine Learning Operations) is the set of practices, tools, and processes that enable data science and engineering teams to collaborate, automate, and manage the end-to-end lifecycle of machine learning models in production, including tasks such as versioning, deployment, monitoring, and governance.
Sources:
- Databricks Glossary: What is MLOps?
- Wikipedia: MLOps