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Production AI Radar
DVC
Data Version Control - Git workflows for datasets, models, and pipelines.
TrialMLOpsNew
- Why this ring
- Mature OSS for mid-market; lighter than full lakehouse lineage for many teams.
- Production risk if ignored
- Remote storage misconfig leaks datasets or loses history.
- Typical effort
- weeks
- Low FinOps impact
Use cases
- Dataset versioning
- Pipeline reproducibility
Adoption steps
- Init DVC remote
- Track one training set
- CI pull of pinned rev
- Train team on push/pull
Related tools
In your assessment
DVC remote security + retention policy