Browsing All posts tagged under »Artificial Intelligence«

The “Torrent” Argument: Where Transformation Failure Quietly Begins

January 20, 2026

0

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

0

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

0

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

0

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

0

The rationalization boomerang - is it time to get off the roller-coaster?

The AI Implementation Gap: 2020-2025 — Or Shouldn’t We Be Measuring Success Instead of Documenting Failure?

January 15, 2026

0

Shouldn't we be measuring success instead of documenting failure?

RAM 2025 vs. Vibe-Coding — The Accuracy Gap

January 14, 2026

0

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.

Glass G-Commerce: Strong Technology, Missing Methodology

January 13, 2026

0

What 30 Years of Procurement History Tells Us About Glass's G-Commerce.

Three Thoughts About AI That Will Change Your Thinking for the Better

January 11, 2026

0

When it comes to AI, the industry is still playing chess when it should be building teams.

Nothing Changed — Except the Speed

January 11, 2026

0

Nothing Fundamental Has Changed in Transformation — Only the Speed at Which Failure Reveals Itself