ResearchData·7 min read
Data governance as the foundation for AI readiness
Elena Vasquez·Head of Data Engineering·
AI initiatives fail more often on data quality and governance than on model selection. Here is how leading enterprises are building AI-ready data foundations.
When enterprise AI initiatives stall, the root cause is more often data than models: inconsistent definitions, unclear lineage, and unclear ownership.
Our research across enterprise data platforms found that organizations with mature data governance practices moved from AI pilot to production roughly 2.5x faster than those without.
This research outlines the specific governance capabilities — data cataloging, lineage tracking, and quality monitoring — that most directly correlate with AI delivery speed.
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