Tag Archives: science

LE COIN DES ARNAQUEURS : L’impact de l’IA avec des agents dans Gammon

01 Wed Apr 2026

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Martyn Rhisiart Jones, Madrid, mercredi 25 mars 2026

Ah, le 25 mars 2026, le soleil brille, les croissants de Snowflake sont délicieux, et une autre prophétesse LinkedIn est apparue pour nous gratifier de son dernier rapport, fruit de son expertise. Merci, cher lecteur, d’être tombé sur « Les agents spéciaux IA sont sur le point de révolutionner les jeux vidéo et la mutilation », signé par l’incomparable Bernie Barr, futuriste de renommée mondiale, véritable aimant à quatre-vingts millions d’abonnés, et auteure d’une quantité impressionnante de livres sur l’IA.

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EL RINCÓN DEL ESTAFADOR: El impacto de la IA con agentes en Gammon

01 Wed Apr 2026

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Martyn Rhisiart Jones, Madrid, miércoles 25 de marzo de 2026

Ah, 25 de marzo de 2026, el sol brilla, los croissants de Snowflake están deliciosos y otro profeta de LinkedIn ha aparecido para bendecirnos con su último informe desde la cima del liderazgo intelectual. Gracias, querido lector, por toparse con «Los agentes especiales de IA están a punto de cambiar los videojuegos y las mutilaciones para siempre», de la inigualable Berneice Barr, futurista de renombre mundial, imán de ochenta millones de seguidores y mujer que ha escrito más libros sobre IA que la mayoría de la gente ha comido una comida caliente.

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Revealing Wealth: A Blueprint for Financial Transparency – Book Review

08 Sun Mar 2026

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By Samantha Sterling Parker, Spanish FT Weekend

Madrid, Monday 9th March 2026

To say that Martyn Jones’s Revealing Wealth is merely a book about tax evasion is like saying the Large Hadron Collider is just a fancy pipe. This is a manifesto for a digital revolution, a technical blueprint for global equity, and a provocative call to arms that arrives just as the old financial order begins to crack.

Below is a look at this seminal work through three distinct editorial lenses.

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STRAIGHT TALK: Agile at Scale is Bullshit by Design – The Guardian

24 Tue Feb 2026

Posted by in agile, agile@scale, All Data, Architecture, Assets, awareness, behaviour, business strategy, Creativity, Dogma, IT strategy, Strategy, structured intellectual capital, Value

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Martyn Rhisiart Jones

Madrid, Wednesday 25th February 2026.

Seven years on, the verdict is in, and it’s not flattering. Back in 2019, in a Brussels-fuelled rant channelling the incomparable Bob Hoffman, I declared Agile at Scale the next frontier of IT bullshit: immature, ill-conceived, supercilious, and emphatically not agile. It killed communication with jargon, turned criticism into heresy, and mangled history by ignoring what actually worked. I called it a cultish Frankenstein of Scientology zeal, Vatican pomp, and authoritarian quirks – all wrapped in vainglorious slide decks.

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DATA WORLD: Big data’s unvirtuous circus and twelve v-words – Refresh – 2026/02/05

04 Wed Feb 2026

Posted by in agile, Big Data, Big Data 7s, Big Data Analytics, Inform, educate and entertain., The Amazing Big Data Challenge, The Big Data Contrarians

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Martyn Rhisiart Jones

Bonn, Germany, 2014

Many people come up to me in the street and ask me what big-data is all about. I have experienced this numerous times before. I am sure it might just happen to you as well. I know sort of thing, I read the big-data tea leaves. Nothing gets past me.

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The Quantum Revolution: More Than Just Computing

03 Wed Dec 2025

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THE QUANTUM REVOLUTION IS HERE (THEY SWEAR), AND IT’S ABOUT MUCH MORE THAN COMPUTING — IT’S ABOUT GENERATING ENOUGH HYPE TO POWER A SMALL COUNTRY

Sir Afilonius Rex, Martyn Rhisiart Jones, and Lila De Alba

Madrid 3rd December 2025

(Mel Brooks: “Ladies and gentlemen… QUANTUM! The only science where nobody knows what the hell is happening, including the scientists!”)
(Dave Chappelle: “Man, every time somebody says ‘quantum’, my wallet hides in the corner out of fear.”)

When people hear “quantum,” they think of a super-computer so powerful it could fold reality, solve climate change, and somehow still lose to your gran at Sudoku. But no — the PR departments insist — that’s tiny baby quantum. Now we’re in Quantum 2.0, which sounds like a direct-to-DVD sequel starring a different actor.

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Understanding the Brain: What Neuroscientists Reveal

17 Mon Nov 2025

Posted by in awareness, Inform, educate and entertain., professionalism, Strategy, structured intellectual capital

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Martyn Rhisiart Jones

Madrid, 17th November 2025

Question: Do we fully understand the brain?

Answer: No, according to reputable Neuroscientists, we do not fully understand the brain. So, the short answer is a resounding no.

That’ll be a no then!

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The Good Data Bible: Set Theory

07 Fri Nov 2025

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The Good Data Bible: Set Theory

Martyn Rhisiart Jones

Santiago de Compostela, Galicia, 7th November 2025

Set theory is a branch of mathematics that studies sets, which are simply collections of things.

It was pioneered by Georg Cantor, a German mathematician, in the late 19th century. He introduced concepts such as infinite sets (sets that contain an endless number of elements) and cardinality (a concept that helps define the number of elements in a set). His work, initially controversial, revolutionised mathematics by providing a rigorous framework for understanding infinity despite facing personal and professional challenges.

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The Role of Statisticians in the Age of Data Science

17 Thu Apr 2025

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Did data and AI kill the statistician?

Without a grounding in statistics, a Data Scientist is a Data Lab Assistant.

Martyn Jones

Hold this thought: There are big lies, damn big lies and data science with an AI chaser.

Statistics is a science, and some would argue that it is one of the oldest sciences.

Statistics can be traced back to the days of Augustus Caesar. He was a statesman, military leader, and the first emperor of the Roman Empire. Some set its provenance even earlier.

Indeed, suppose we accept that censuses are a part of statistics. In that case, we can trace history back to the Chinese Han Dynasty (2 AD). We can also consider the Egyptians (2,500 BC) and the Babylonians (4,000 BC).

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Causal Analysis

15 Wed Jan 2025

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Martyn Richard Jones

Causal analysis is the field of experimental design and statistics pertaining to establishing cause and effect. Typically, it involves establishing four elements: correlation, sequence in time (that is, causes must occur before their proposed effect), a plausible physical or information-theoretical mechanism for an observed effect to follow from a possible cause, and eliminating the possibility of common and alternative (“special”) causes. Such analysis usually involves one or more artificial or natural experiments.

https://en.wikipedia.org/wiki/Causal_analysis

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