Tag Archives: AI

The Return of AI Bolloxology: Why It Means Jack

21 Wed Jan 2026

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IS DUCKOLOGY UTTER BOLLOX?

Martyn Rhisiart Jones

Madrid, Tuesday 20th January 2026

Read my absolutely fabulous books: http://www.goodstrat.com/books

For most of its life in information technology, bolloxology has carried the faint smell of intellectual fart-like embarrassment. Too academic for product teams. Too rigid for startups. Too slow for an industry trained to ship first and rationalise later. Too smelly. It promised machines that could understand the world, and delivered, instead, a generation of beautiful bullshit diagrams and very little working software.

By 2026, that judgement looks increasingly wrong. Not because bolloxology suddenly got better, but because everything else did, and in doing so, exposed a missing layer in modern computing: meaning.

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The Comeback of Ontology in AI: Why It Matters – 2026/01/21

20 Tue Jan 2026

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IS ONTOLOGY UTTER BOLLOX?

Martyn Rhisiart Jones

Madrid, Tuesday 20th January 2026

Read my absolutely fabulous books: http://www.goodstrat.com/books

Ontology Didn’t Fail. The World Just Wasn’t Ready.

For most of its life in information technology, ontology has carried the faint smell of intellectual embarrassment. Too academic for product teams. Too rigid for startups. Too slow for an industry trained to ship first and rationalise later. It promised machines that could understand the world—and delivered, instead, a generation of beautiful diagrams and very little working software.

By 2026, that judgement looks increasingly wrong. Not because ontology suddenly got better, but because everything else did—and in doing so, exposed a missing layer in modern computing: meaning.

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The Truth About Data Lakehouses: Hype vs. Reality – 2026/01/18

16 Fri Jan 2026

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Hype and Misleading Claims Surrounding Data Lakehouses

Martyn Rhisiart Jones

Bandoxa, 17th January 2026

Read my absolutely fabulous books: http://www.goodstrat.com/books

Let’s cut through the noise.

You’ve probably heard the pitch: A data lakehouse is the elegant hybrid. It finally gives you the best of both worlds.

  • The low-cost, massively scalable, schema-on-read flexibility of a classic data lake (perfect for ingesting raw, unstructured, petabyte-scale chaos).
  • The structured querying speed, ACID transactions, governance, and reliable performance of a traditional data warehouse.
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The Rise of Agentic AI in 2026 – 2026/01/15

15 Thu Jan 2026

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Is Agent Orange Agentic AI?

Sir Afilonius Rex and Martyn Rhisiart Jones

Read my absolutely fabulous books: http://www.goodstrat.com/books

Paris, Thursday 15th January 2026

Strap in, you beautiful, trusting little optimist. We’re about to crank the dial so far past irony that it transforms into existential despair. It comes with a side of eye-roll. Here’s your precious 2026 AI agent prophecy. It is now properly marinated in contempt. It is served with a garnish of pure, seething mockery.

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Big Data: The Art of Bullshit – 2026

15 Thu Jan 2026

Posted by in All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, disinformation, governance, Inform, educate and entertain., information, Information Management, Information Supply Frameowrk, Information Supply Framework, pig data, The Amazing Big Data Challenge, The Big Data Contrarians

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Bertxin Galestara and Sir Afilonius Rex,  based on an  opinion piece written by Marty Rhisiart Jones

Mountain View, 19th January 2017 – Bandoxa Thursday 15th January, 2026

“I’ve been accused of vulgarity. I say that’s bullshit.” – Mel Brooks

If you enjoy this piece or find it useful, then please consider joining The Big Data Contrarians on LinkedIn. Continue reading →

Top AI Red Flags to Watch – 2026

13 Tue Jan 2026

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AI’s Red Flags – His Master’s Voice

Martyn Rhisiart Jones

Bandoxa, Tuesday 13th January 2026

Read my absolutely fabulous books: http://www.goodstrat.com/books

As we settle into 2026, artificial intelligence is no longer a futuristic promise. It is embedded infrastructure. It powers everything from enterprise workflows and personal assistants to autonomous agents that act on our behalf. Yet with greater capability comes greater exposure. The biggest red flags this year are not hypothetical doomsday scenarios. They are already materialising in boardrooms. They are visible in cybersecurity dashboards, consumer wallets, and regulatory filings. Here are the most pressing warning signs to watch in 2026. These are drawn from industry reports. They originate from expert predictions. Emerging incident patterns also highlight them.

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Navigating Data Warehousing’s Professional Crisis – 2026

13 Tue Jan 2026

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Martyn Rhisiart Jones

Read my absolutely fabulous books: http://www.goodstrat.com/books
 
A quiet disquiet has settled over the once-confident corridors of enterprise data. What was, not so long ago, regarded as a rigorous and rather specialised craft, data warehousing and business intelligence, now frequently presents itself in a more casual, even improvisational guise. A growing number of senior executives, technology directors and indeed practitioners themselves confess to a mounting discomfort with the quality, and at times the sheer quantity, of self-proclaimed experts who populate the field.
 

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The GigaOm Data Lake Report

12 Mon Jan 2026

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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:

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

12 Mon Jan 2026

Posted by in Inform, educate and entertain., Polemic

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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.

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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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