GOOD STRATEGY REBELLION

Tag: Artificial Intelligence

  • The GigaOm Data Lake Report

    The GigaOm Data Lake Report

    Nonsense on parade

    Martyn Rhisiart Jones

    Madrid, Tuesday 13th January 2026

    This GigaOm report is a classic vendor-sponsored benchmark. Fivetran picked the competitors and shaped the test scope. GigaOm (as explicitly disclosed) executed it “as-is” with “compatible configurations subject to judgment.” It’s marketing material presented as independent research. It has several structural weaknesses. These weaknesses make the 77–95% cost savings claim highly misleading for most real organisations.

    1. It only measures ingestion compute, not true TCO.

    The report repeatedly calls itself a “TCO report,” but it explicitly excludes:

    (more…)
  • Top 12 AI Grifters, Charlatans & Rogues to Avoid in 2026 – 2026/01/14

    Top 12 AI Grifters, Charlatans & Rogues to Avoid in 2026 – 2026/01/14

    The Skunkworks Collective – Martyn, Alba, Afi, Lila, and Coco

    Madrid, Wednesday 14th January 2026

    Right, listen. If you’ve ever sat through one of those AI conferences, you know the ones. Some bloke in a black polo neck stands on stage. He’s clearly never met a mirror he didn’t like. He says, “We’re on the cusp of AGI.” It sounds as if he’s just invented gravity. Then you’ll know the particular flavour of despair I’m talking about.

    (more…)
  • 10 AI Agents Every Business Leader Needs To Steer Clear of in 2026 – 2026/01/13

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

    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.

    (more…)
  • Justifying Business Data Requirements – 2026/01/11

    Justifying Business Data Requirements – 2026/01/11

    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

    (more…)
  • BERNIE MARR BALLS: Nine Absurd AI Use Cases We Don’t Need

    BERNIE MARR BALLS: Nine Absurd AI Use Cases We Don’t Need

    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.

    (more…)
  • Future Data Trends: Insights for 2026 Leadership

    Future Data Trends: Insights for 2026 Leadership

    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.

    (more…)
  • העידן החדש של מחסום הנתונים: מהפכה טכנולוגית

    העידן החדש של מחסום הנתונים: מהפכה טכנולוגית

    Martyn Rhisiart Jones

    Segovia, 21st December 2025

    (more…)
  • Understanding Data-Less Apps: The Future of IT

    Understanding Data-Less Apps: The Future of IT

    Image1Martyn Rhisiart Jones

    Dublin 9th May 2017 –  revised 21st December 2025

    (more…)
  • L’évolution des entrepôts de données en 2025/2026

    L’évolution des entrepôts de données en 2025/2026

    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.

    (more…)
  • Evoluzione del Data Warehouse: Da Inmon al Cloud 2025/2026

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

    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.

    (more…)