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Let’s share some genAI learnings. What challenges or considerations have you encountered when integrating generative AI into your data management processes?

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Data Governance is seeing an inflection point as AI presents unique opportunities to automate mundane tasks like data documentation, manual tagging, etc. Despite the opportunities, many leaders still report that data governance is hard. So curious, how is Data Governance changing for most strategic data management leaders? I'd love to hear from peers if anyone has been able to get measurable ROI from doing data governance, not just productivity gains like finding data more easily.

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