New TDWI Research Reveals the Data Strategies Behind High-Impact AI

▤ Summary

TDWI released a research report on how organizations build data foundations that support high-impact AI. The report highlights the importance of unified data platforms, governance, semantic models, and accessible enterprise data as AI moves from experimentation into production. It also shows that high-performing organizations are more likely to use open table formats, vector stores, and embedded governance. The findings point to data architecture and metadata management as key enablers of scalable, production-grade AI.

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