Why Enterprise Data Still Isn't Trusted for AI: Where CDOs Are Hitting Real Constraints in 2026

The webinar delivered an operating-level assessment of why data modernization does not automatically translate into AI readiness. Participants gained clarity on how fragmented ownership, inconsistent governance, brittle pipelines, and limited accountability undermine production-scale AI outcomes, and what structural redesigns are required to make AI dependable, scalable, and defensible in 2026

16 views | Technology | Submitted: February 20, 2026
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