Model Lifecycle
Noun · AI & Machine Learning
Definitions
The full life of a model from selection or training through evaluation, deployment, monitoring, updates, and retirement. Managing the model lifecycle well reduces regressions, drift, and hidden operational risk.
In plain English: The full life cycle of a model from creation to retirement.
Example: "Governance reviews were tied to the full model lifecycle, not just launch, because post-deployment updates changed behavior too."