TLDR Tech / Data
Never mind clean data. Annotate as you collect it.
AI teams should preserve provenance, schema, and source context at ingestion because hallucinations often stem from stale or non-canonical data. Gartner expects 60% of AI projects to fail without metadata and observability, while nearly 75% of frontier-model training CPU goes to cleansing and validation. Capture lineage and authority in-stream and use data contracts and DBOMs to ground agents.
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