ai-governance - Emptying the Cup

Emptying the Cup

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ai-governance

A collection of 5 posts

data-governance

The Catalog Is Now the Control Plane

The Catalog Is Now the Control Plane In 2021, Gartner retired the Metadata Management Magic Quadrant and replaced it with a market guide. In 2025, they launched the inaugural Magic Quadrant for Data and Analytics Governance Platforms. That four-year arc, from a market guide signaling disruption to a Magic

data-governance

AI Governance Is Data Governance With Consequences

AI Governance Is Data Governance With Consequences The framing of AI governance as a separate discipline from data governance is a mistake. Most organizations making it will discover this the hard way, because the EU AI Act's high-risk obligations activate on August 2, 2026, and the first

The Standards That Scale: From Code Quality to AI Governance

Just as code quality demanded standards in 2013, AI governance requires them now. Organizations willing to say no to deploying autonomous agents without robust infrastructure will build trustworthy AI systems.

From CI/CD to the Intelligence Operating System

Strong software delivery practices—like CI/CD—build mental models crucial for building trustworthy AI systems. The path to an "Intelligence Operating System" accelerates when you understand the direct lineage from source control to AI governance.

Governance Is Not Overhead. It Is the Engine of Trust.

AI deployment failures share a pattern: capability shipped without the infrastructure that makes autonomy trustworthy. Five mechanisms form that infrastructure, and they have a centuries-old precedent in financial controls.