Enterprise AI success depends less on models and more on foundational infrastructure: unified data governance, semantic context, and integrated architecture. Research with 800 executives reveals that organizations scaling AI effectively are those who consolidate data, analytics, and AI on single platforms, enabling trusted lineage and consistent governance. As companies move toward agentic AI systems that take autonomous actions, strong metadata, business context, and governance become critical rather than optional. Case studies from Fox Corporation, Workday, and 3M demonstrate how investing in data foundations and semantic layers unlocks reliable AI performance at scale.
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Data and Governance Drive High-Quality AIThe Differentiator: Unified Data, Analytics and AI709 Impressions