Agentic AI: Data Foundation Key to Enterprise Success

Agentic AI, which aims for autonomous action, struggles when enterprise data is fragmented across disconnected systems. This is a major barrier, with only 15% of organizations achieving real AI return on investment. Fragmented data and tooling gaps are key issues. For instance, only 43% of enterprise teams can tune site search in real time. Moreover, 91% of customer experience leaders feel pressure to deploy AI. An "AI-ready data foundation" is crucial. This includes unified identity, accessible metadata, governed data products, and retrieval layers. These elements help agents find and act on authoritative signals. The bottom line: building effective agentic AI requires a strong data foundation, not just model improvements.