Results for "version switching"
Maintaining two environments for instant rollback.
Policies and practices for approving, monitoring, auditing, and documenting models in production.
Automated testing and deployment processes for models and data workflows, extending DevOps to ML artifacts.
Central system to store model versions, metadata, approvals, and deployment state.
Central catalog of deployed and experimental models.
Ability to inspect and verify AI decisions.
Governance of model changes.