Browsing All posts tagged under »llm«

Google’s $750M Move Just Scaled the Architecture That Has Failed for 30 Years

May 4, 2026

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Google didn't make a mistake. It just operationalized one — at $750 million scale, with thirty years of receipts.

SAP Didn’t Reduce Capability. It Widened the Outcome Gap.

April 30, 2026

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SAP's Technology Capability is at its strongest in two decades. Its behavioral dimensions just collapsed. A Hansen Fit Score™ assessment of what the April 2026 API policy actually changed.

What Are ProcureTech Providers Actually Orchestrating?

April 30, 2026

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Every ProcureTech vendor now claims to be an orchestrator. Most are coordinating decisions whose validity has never been established.

Taking Aaron Levie’s Famous Quote One Step Further — and Across the Finish Line

April 27, 2026

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In 2014 we had the opportunity to get it right — but only a few recognized it. In 2026, with AI, we have a second chance with full knowledge of the consequences.

When AI Errors Become Design Outputs: Why Pre-Incident Validation Is the Architecture That Matters Now

April 24, 2026

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This is not the end of the black box. It is the end of the black box as an excuse.

When AI Gets the Right Answer to the Wrong Question

April 22, 2026

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ARA™ is the difference between asking AI questions and gaining AI intelligence.

Two Cases. Two Years Apart. Different Situations. One Methodology. The Same Result.

April 17, 2026

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This is implementation physics at its finest: correct the model first, then scale it.

Are You Prepared to Gamble Your Career on AI Outcomes?

April 13, 2026

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As a C-Suite Executive, are you gambling your career on the wrong FOMO?

Gartner Got the Sovereignty Question Half Right

February 26, 2026

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Why infrastructure sovereignty alone can produce false confidence.

How AI Transparency And Governance Works In The Real World: A RAM 2025™ Multimodel Case Study

February 11, 2026

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This is what AI transparency looks like when it's operational, not theoretical.