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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

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In November 2019, a software developer named David Heinemeier Hansson applied for an Apple Card and was granted a credit limit twenty times higher than his wife’s. They filed joint tax returns. She had the higher credit score.

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Every prompt your organisation sends to a rented model pays a second invoice — not in cash, but in the proprietary knowledge you must reveal to make it useful. Naming that wound is not the same as treating it.

In July 2026, Satya Nadella w...

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Somebody Chose This Number

In August 2013, a judge in La Crosse County, Wisconsin, sentenced Eric Loomis to eight years and six months in prison. In doing so, he noted that Loomis had been identified, through a COMPAS assessment, as an individual at high risk to the...

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The AI-readiness industry is selling a cure for a shortage that does not exist. A field guide to tool tourism, manufactured urgency, and the difference between owning a certificate and owning a capability.

In the first weeks of the 2020 lo...

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Nobody Asked If We Should

Between June 2020 and August 2021, 7-Eleven installed tablets with built-in cameras in 700 stores across Australia. Customers were invited to fill in a short survey about their in-store experience. While they tapped through the questions, t...

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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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