From Data Police to AI Enabler – The Evolution of Data Governance - with Tiankai Feng
Tiankai Feng became a governance leader because he wouldn't stop complaining about bad data. Completely understandable! He breaks down the three root causes of data quality problems - technical, process, and human - and why the human ones are nearly impossible to fix downstream. Plus what AI changed: Models need far more historical data than governance ever scoped, and GenAI shifted focus to unstructured documents nobody has governed. Also: the shared drive with fifty versions of the same PDF, and why use cases beat cleanup projects. Hosted by Ido Bronstein of Upriver.
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The skinny
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