Tag: fiction

  • CEO BRIEFING: AI Agents: Rise of the Silicon Overlords

    CEO BRIEFING: AI Agents: Rise of the Silicon Overlords

    Córdoba, Spain, 17th November 2025

    (The Ruthless, No-Bullshit, Slightly Evil Edition)

    Chapter 1: Congratulations, You’re Already Obsolete

    • Your boss, clients, or investors heard “agent” on a podcast. Now, they demand an AI agent before lunch on Friday.
    • Accept your role as meat-based middle management for silicon overlords.
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  • Lassie Does Data

    Lassie Does Data

    Martyn Richard Jones, Galicia, 14th May 2025.

    Lassie Does Data

    Remember that old story about Lassie, the Yorkshire collie dog?

    And, how Lassie would run across the Scottish highlands, lowlands and Yorkshire moors.

    Aww, wasn’t she so cute?

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  • Data Warehousing means monolithic databases?

    Data Warehousing means monolithic databases?

    Data Warehousing means monolithic databases?

    Martyn Jones, Brooklyn, 27th September 2024

    Narrator: Another false meme doing the rounds is that Data Warehousing necessarily means monolithic databases. This is not what data warehouses have been for many businesses.

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  • The Data Dialogues (Nov 2024) – Physician, heal thyself!

    The Data Dialogues (Nov 2024) – Physician, heal thyself!

    Physician, heal thyself!

    Narrator: Consider this. If the originators, acolytes and sycophants of data mesh hadn’t been so free and easy with how they created and perpetrated technical debt, especially data model and data quality-related technical debt, then we wouldn’t need data mesh to try and get us out of the mess these sloppy developer people put us into in the first place.

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  • The Data Dialogues (Nov 24) If in doubt, blame the data

    The Data Dialogues (Nov 24) If in doubt, blame the data

    If in doubt, blame ‘data quality’

    Narrator: It doesn’t matter what you are trying to do, or even if you know what you are trying to do, but if in doubt, blame the quality of the data. There was a time when data quality was a massive impediment to business data integration.

    Data quality assurance was a glint in IT’s eye. A far-away place that nobody knew how to get to.

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