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Delivering Understanding Beyond Insights
Browsing All posts tagged under »technology«
Why I Gate the “How” — Not the “Why”
January 22, 2026
I would rather deal with people who are more interested in being right than those who are more fearful of being wrong.
What Might Satya Nadella Say About the Fivetran MIT Report?
January 21, 2026
Technology doesn't have culture. People do. Nadella understood that. This report forgot it.
When Models Agree, the Question Is Why: A Real-Time Case Study in Multimodel Validation
January 19, 2026
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
Anyone can wire up multiple AI models. No one can manufacture 27 years of documented pattern recognition.
The Opaque Clarity of the AI Black Box Revealed
January 17, 2026
The Black Box was never an AI problem. It was always a governance problem. Here's the proof — and the solution.
The Rationalization Boomerang: 30 Years of Consolidate, Collapse, Rebuild (1995-2025)
January 15, 2026
The rationalization boomerang - is it time to get off the roller-coaster?
Rajib Gupta’s Post And Why It Is Potentially ‘Dangerous’ After All These Years?
January 15, 2026
Why are broadly applied vendor rationalization and eliminating maverick spend initiatives a good thing?
The AI Implementation Gap: 2020-2025 — Or Shouldn’t We Be Measuring Success Instead of Documenting Failure?
January 15, 2026
Shouldn't we be measuring success instead of documenting failure?
RAM 2025 vs. Vibe-Coding — The Accuracy Gap
January 14, 2026
Isn't it time we stopped using industry-standard guesswork and started using Implementation Physics to ensure success rather than hope for it? Meet RAM 2025 Multimodel Verification.
Procurement Insights 
The Integrity Test: What Serious Advisors Put in Writing Before You Implement
January 22, 2026
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How can you tell whether an advisor is operating as a verification authority — or as a program accelerator.