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Demystifying AI as the natural evolution of data-driven value creation — from foundational challenges to enterprise governance and autonomous systems. Here, practical frameworks bridge pilots to production.

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Artwork for The Data-AI Continuum

Latest Issues

No Fourth Chair

Consolidating data, digital, and AI under one executive is not the end state of this transition. It is the last attempt to hold together something that has already stopped being one job.

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13 days ago

Everybody Agreed. Nobody Started.

87% of organisations say they have a clear AI governance framework. Fewer than a quarter have implemented the controls described in the framework.

That gap is the subject of this essay, and it is not a gap of conviction. Nobody in those or...

15 days ago

A Price, Not a Prohibition

This article is in Governing the Autonomous Enterprise. The previous piece argued that we hand machines an outcome and leave the means unwritten. This one asks who has to fix that, and concludes it is not the enterprise deploying the model....

17 days ago

Nobody Knows Where It Came From

LAION-5B is a dataset of more than five billion images, scraped from the open web without human supervision. It was used to train Stable Diffusion, which in turn became a foundational component of thousands of image-generation tools embedde...

17 days ago

The Unwritten Half

This article in Governing the Autonomous Enterprise, on why an agent that reaches its objective by a route nobody sanctioned has not exceeded its authority — it has revealed that we never wrote any.

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18 days ago

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  • M Maruf Hossain, PhD, GAICD

    AI is moving faster than boards can govern it. This publication closes that gap — translating agentic AI into governance and risk language executives actually need. No hype. Practical insight from a practitioner.

  • Aaron Sempf

    The defining challenge of intelligent systems is no longer scale, but stability. As autonomy increases, architecture becomes the primary control surface. | 20+ years distributed and embedded systems engineer, focused on complex and adaptive systems.

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