TLDR Tech / Data
How poor data foundations can undermine AI success
More than half of generative AI projects were abandoned after POC last year, largely because of poor data readiness. Leaders need to move from curated pilot datasets to production-grade pipelines with consistent definitions, richer metadata, stronger lineage, and automated, real-time governance across structured and unstructured data. Use-case-led prioritization, least-privilege access, auditability, and human-in-the-loop data cleanup can help close the gap.
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