Tag Archives: technology

10 AI Agents Every Business Leader Needs To Steer Clear of in 2026 – 2026/01/13

12 Mon Jan 2026

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Martyn Rhisiart Jones

Madrid, Tuesday 13th January 2026

As we venture further into 2026, the landscape of enterprise artificial intelligence has undergone a subtle but profound shift. The once-dazzling promise of autonomous AI agents has matured into something more prosaic. These self-directed digital entities can orchestrate tasks from customer engagement to complex data integration. Yet, they are no less pervasive. They are no longer novelties confined to experimental labs; they inhabit boardrooms, back offices and supply chains alike.

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Justifying Business Data Requirements – 2026/01/11

11 Sun Jan 2026

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Justify Your Data Needs

Martyn Rhisiart Jones

Oxford University, Sunday 11th January 2026

Should All Business Data Requirements Be Justified in Business Terms?

A Pseudo-Debate

Motion: All business data requirements must be justified in business terms. Potential business utility should be a deciding factor in whether they are fulfilled.

For the Motion: Sir Afilonius Rex
Against the Motion: Martyn Rhisiart Jones

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A Brief History of Data Warehousing – 2026/01/07

10 Sat Jan 2026

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Martyn Rhisiart Jones

Madrid, 7th January 2026

The origins of data warehousing are often pinned to the late 1980s, when the term “business data warehouse” first appeared in an influential IBM Systems Journal article by researchers Barry Devlin and Paul Murphy. I was based in Birmingham at that time, and I also wrote a similar foundational document on Information Centres for Sperry Univac.
Yet, as with many technological breakthroughs, the story is far richer and older than the conventional narrative suggests. The foundational components of what we now recognise as a data warehouse were quietly taking shape as early as the 1960s, driven by the need to organise, integrate, and analyse growing volumes of business information in an era of punch cards, magnetic tape, and the first mainframes.

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Nine Absurd AI Use Cases We Don’t Need

09 Fri Jan 2026

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Am I Funny, Yet?

Martyn Rhisiart Jones

Madrid, Saturday 3rd January 2026

Nine things that really, really shouldn’t be use cases for AI. Delivered by slowly dismantling a bad idea like it’s a poorly constructed IKEA wardrobe. Rant about bourgeois nonsense with surreal fury. Explain why the whole thing is politically ridiculous. Just stare at the absurdity until it cracks. This is like Marnie Listicle Barr on crack.

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Weaving the Dragon’s Data: A Welsh-Inspired Tale for Enterprise Architects in the New Year – 2026/01/01

08 Thu Jan 2026

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Martyn Muses – 2026/01/01

Martyn Rhisiart Jones

Location, 22nd December 2025

Weaving the Dragon’s Data: A Welsh-Inspired Tale for Enterprise Architects in the New Year – 2026/01/01

The calendar turns to a fresh page in this crisp January of 2026. We, enterprise data and information architects, stand at a new threshold. Another year welcomes us, brimming with digital transformations. Data lakes swell like the River Taff after a storm. Information architectures evolve like the ancient mountain tops of Snowdonia. But amidst the algorithms and schemas, let’s pause for a moment of whimsy. What if we drew inspiration from the misty realms of Welsh myths and legends? Wales, that land of dragons and bards, offers a tapestry of stories. These stories mirror our quests: taming chaotic data into structured wisdom. They are about preserving cultural legacies in vast repositories. They ignite innovation from the sparks of history. In this Happy New Year ode, we’ll begin a narrative journey through Welsh lore. It is infused with the spirits of its iconic figures. Dylan Thomas, Dannie Abse, Richard Burton, Shirley Bassey, Paul Robeson, and Gwynfor Evans are part of this infusion. These spirits illuminate the art of data stewardship.

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Future Data Trends: Insights for 2026 Leadership

21 Sun Dec 2025

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Martyn Rhisiart Jones

Segovia, 20th December 2025

Top 5 Trends Shaping the Future of Data, Analytics, and AI Leadership in 2026

I’ve had the privilege of leading a groundbreaking global study in partnership with a strategic client. During this study, I spoke with many key Chief Data Officers (CDOs). I also engaged with Chief Data & Analytics Officers (CDAOs) and AI executives across industries and geographies. The insights reveal how organisations are changing their data and AI strategies. They aim to drive real business value in an increasingly complex world.

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Understanding Data-Less Apps: The Future of IT

21 Sun Dec 2025

Posted by in All Data, Ask Martyn, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, data architecture, Data governance, Data Lake, data management, Data Mart, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, Good Strategy Radio, goodstrat, Inform, educate and entertain., IT strategy, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

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Image1Martyn Rhisiart Jones

Dublin 9th May 2017 –  revised 21st December 2025

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L’évolution des entrepôts de données en 2025/2026

21 Sun Dec 2025

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Martyn Rhisiart Jones

Segovia 20th December 2025

L’entrepôt de données est mort. Vive l’entrepôt de données !

En 1992, Bill Inmon a inventé le terme « entrepôt de données » et a défini quatre règles d’or : orienté sujet, intégré, non volatil et temporel. C’était le modèle d’une forteresse de vérité, coûteuse, sur site, fonctionnant par lots et absolument indispensable. Trente ans plus tard, cette forteresse a laissé place à une plateforme cloud hyperscale. Cette plateforme peut exécuter simultanément vos modèles d’IA et le tableau de bord de votre PDG. Bienvenue dans l’entreposage de données de 2025.

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Evoluzione del Data Warehouse: Da Inmon al Cloud 2025/2026

21 Sun Dec 2025

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Martyn Rhisiart Jones

Segovia 20th December 2025

Il Data Warehouse è morto. Lunga vita al Data Warehouse.

Nel 1992, Bill Inmon coniò il termine “data warehouse”. Definì quattro regole sacre: orientato al soggetto, integrato, non volatile, e variabile nel tempo. Era il modello per una fortezza della verità, costosa, on-premise, elaborata in batch e assolutamente indispensabile. Facciamo un salto in avanti di tre decenni. La fortezza è stata sostituita da qualcosa che assomiglia a una piattaforma cloud iperscalabile. Questa piattaforma può gestire contemporaneamente i tuoi modelli di intelligenza artificiale e la dashboard del tuo CEO. Benvenuti al data warehouse nel 2025.

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