Browsing All posts tagged under »Artificial Intelligence«

Why Most ProcureTech AI Marketing Falls Flat — And What Would Actually Work

January 26, 2026

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CPOs aren't buying AI hype because they want AI reality.

20 Years of Quadrants, Waves, and Maps — Same 75-80% Failure Rate

January 25, 2026

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Quadrants, Waves, and Solution Maps — all measuring technology capabilities, none measuring the right organizational readiness.

When Words Lose Meaning: Why Definitions Matter More Than Frameworks

January 24, 2026

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The AI gap means different things to analysts, consultants, solution providers, and practitioners — and only one definition actually matters.

Why Your AI Agents Need a Steering Wheel, Not Just an Engine

January 24, 2026

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Frameworks CAN be used with governance — but they don't REQUIRE it. That's the gap.

For the First Time, the Practitioner Leads the Technology (Not the Other Way Around)

January 23, 2026

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The new role of procurement professionals isn't approving transactions — it's governing the agent ecosystem.

When an MIT Scientist Agrees: Adapt the Formula to Reality

January 23, 2026

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Why procurement needs to adapt the formula to reality versus the other way around - it's long overdue!

What Might Satya Nadella Say About the Fivetran MIT Report?

January 21, 2026

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Technology doesn't have culture. People do. Nadella understood that. This report forgot it.

The “Torrent” Argument: Where Transformation Failure Quietly Begins

January 20, 2026

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Every major failure wave starts with the same sentence: 'Things are moving so fast, we may be forced to adopt.'

When Models Agree, the Question Is Why: A Real-Time Case Study in Multimodel Validation

January 19, 2026

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I watched an AI model fabricate provenance — confidently, articulately, and completely. Then I watched the methodology catch it.

The Archive Advantage: Why Lived Experience Is the Counterweight to the Black Box

January 18, 2026

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Anyone can wire up multiple AI models. No one can manufacture 27 years of documented pattern recognition.