Model registry
A system for tracking and managing versions of trained models, including which version is currently deployed, which are archived, and their associated metadata. A model registry that retains superseded versions can leave an old, uncorrected model's retention exposure live even after a corrected version has replaced it in production.
Defined in 3 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in AI Data Governance: The Data Chair.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
A system for tracking and managing versions of trained models, including which version is currently deployed, which are archived, and their associated metadata. A model registry that retains superseded versions can leave an old, uncorrected model's retention exposure live even after a corrected version has replaced it in production.
An internal catalogue of an organization's models and their versions. When a maintained card is a required field in the registry rather than an optional attachment, documentation coverage rises sharply and staleness becomes visible, which is the documentation-by-default lesson from public model hubs applied internally.
A single, authoritative record of which model version is approved for a given deployment, used to make model-update technical triggers detectable by tooling rather than dependent on memory.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- Change Management · Rollout, Monitoring, and Incident Response, Agentic AI Governance: Applied Mastery
- Retention versus the model that memorized: deleting data a model already learned from · Consent, Purpose, and the Law of Data, AI Data Governance: The Data Chair
- Model cards and system cards for your own systems, written so an outsider could act on them · Evidence Engineering, AI Governance: Applied Mastery
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.