Most CDOs are still measuring AI readiness with a BI-readiness checklist and it's costing them. 80 to 90 percent of enterprise data is unstructured, sitting outside every governance program built over the last three decades.

📌 In this episode:

The split Malcolm calls "the world of measurement vs. the world of meaning" and why Gen AI lives entirely in the latter

Why only 25% of the data feeding AI models today is actually governed (per Dresner Research)

Why a product manager and a value engineer might matter more right now than any new governance policy

Why the 30-year-old model of data ownership breaks down in an AI-driven world and what it needs to become instead

💬 The takeaway: "You get budgets of millions of dollars to solve this problem but every day we disempower ourselves by saying 'garbage in, garbage out.'"

About the host: Malcolm Hawker is a former Gartner analyst, Chief Data Officer at Profisee, Editor-in-Chief of CDO Matters on Substack, and host of the CDO Matters Podcast. This keynote was recorded live at the CDO Magazine CDO/CAO Summit.

If you liked this episode: Check out "Beyond Data Catalogs: Building Context for AI and Data Products (Ep. 87)"

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