CData Foundations Recap with Google and ServiceNow: Building AI on Trusted Data

CData Foundations keynotes argued that enterprise AI is entering an operational phase in which success depends less on model novelty than on trusted, connected, context-rich data. Speakers from CData, ServiceNow, Google, Sisense, and Argano identified four related requirements: reliable governed data, semantic consistency across systems, strong security and observability controls, and real-time connectivity to enterprise applications. They emphasized that AI agents need business context beyond field names and data types, while governance should enable accountable experimentation rather than delay adoption until data is perfect. CData positioned its platform of enterprise connectors, a universal semantic layer, and Connect AI, a managed Model Context Protocol offering, as infrastructure for exposing system metadata, relationships, and data securely to AI tools. The event’s central message was that organizations can begin practical AI initiatives with existing, imperfect data estates if they prioritize dependable connections, context, and controls as they scale.

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