Insights
Thinking that moves the data agenda.
Practical thought leadership on AI governance, data architecture, and enterprise transformation. Written from the field, for leaders who have to make these programs actually work.
Practical thought leadership on AI governance, data architecture, and enterprise transformation. Written from the field, for leaders who have to make these programs actually work.
DataOps' original DAMA-inspired framework for AI governance management: a structured way to organize the disciplines, decision rights, and controls an enterprise needs before AI can be trusted in production. The full white paper walks through every spoke of the wheel and how they connect.
AI Governance
72% of enterprises run agentic AI in production; 60% lack mature governance. The EU AI Act deadline is August 2. Here's what to do in the next 30 days.
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AI Governance
Review boards and model cards cannot save an AI program built on ungoverned data. How the two disciplines depend on each other, and the order of operations that works.
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Data Quality
Quality programs run from a backlog do not change behavior. What happens when violations reach a council agenda with names and decision rights attached.
Read the article →The AIGM Wheel is DataOps' original DAMA-inspired framework for AI governance management: a structured way to organize the disciplines, decision rights, and controls an enterprise needs before AI can be trusted in production. The full white paper walks through every spoke of the wheel and how they connect.
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The DataOps practice. Everything here is written from the field, for leaders who have to make these programs actually work.
The thinking here comes straight from client work. If a topic hits close to home, we're glad to compare notes.