Insights

Notes on Governance, Data Quality and AI

White papers from delivery work — what actually moves a governance programme forward, and what quietly stalls one.

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AI Governance Frameworks in the Age of Regulation

The EU AI Act’s high-risk obligations are enforceable now. The organisations coping best extended the data governance they already had rather than building a separate compliance function.

Privacy by Design in Data Management and Governance

Run privacy as a legal workstream parallel to governance and you get two inventories, two classification schemes and two answers for the same regulator.

Metadata Management as the Foundation for Trustworthy AI

A model produces an answer, someone senior asks why, and nobody can trace it back. That answer lives in metadata — and it has to be captured before it is needed.

Active Metadata and the Rise of the Modern Data Catalog

The first catalog generation answered “what data do we have?” Almost nobody asked. Active metadata answers “can I use this?” — and enforces the answer.

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These papers reflect problems we see repeatedly. If one of them describes your situation, we would be glad to compare notes.

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