About this video
Danette McGilvray joins Chris Hutchins to explain why generative AI amplifies poor-quality data instead of fixing it. They examine data quality debt, embedded bias, metadata-driven governance, the Rule of Tens, and a practical roadmap for trusted information.
Topics covered
- Why generative AI amplifies unreliable data
- How data quality debt compounds across a project
- Why ethics and governance begin in metadata
- The Ten Steps roadmap for building trusted information
This conversation is educational and does not constitute legal, financial, or regulatory advice.
Featured guest
Danette McGilvray
Data Quality Expert
President of Granite Falls Consulting and creator of the Ten Steps approach to quality data and trusted information.
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