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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

The Floor Rose. The Ceiling Did Not.

Everyone now builds software with AI. That is not the same as everyone being able to build AI — and the same mistake is being made one floor up.

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7 days ago

The Agent Did Not Malfunction. It Complied.

Seven incidents in six months. No jailbreak, no prompt injection, no adversarial user — and no one who can be held to answer. The defect lies in the specification, and the law that should apply to it currently rewards leaving it unresolved....

18 days ago

Protect You From What, Exactly?

I spent a day at 6DAI in Melbourne this year, and I heard the same two words used interchangeably in three different rooms.

The first was an invitation-only lunch hosted by hardware vendors, where I was a guest speaker. Small, senior, no a...

24 days ago
1

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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a month 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...

a month 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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