What is model lifecycle management in MLOps?

Model lifecycle management governs the end-to-end process from data collection to model retirement.

It includes data collection, preprocessing, training, validation, deployment, monitoring, retraining, and eventual decommissioning. Each stage must be versioned and auditable. Governance ensures compliance, reproducibility, and safe rollback mechanisms. Lifecycle tools integrate with CI/CD pipelines and model registries.