May 5, 2026
"Incomplete assumptions don't disappear. They accumulate. And when the system scales, reality collects the debt."
May 1, 2026
The familiar iceberg graphic addresses 10% of the system. Here is the other 90%.
April 16, 2026
The most dangerous moment in any AI deployment isn't when the system fails. It's when it succeeds — at optimizing a model that was never correctly defined in the first place. Here's the question no one has answered.
March 25, 2026
The data layer is clean. The process layer has never been verified. That is where the AI promise breaks.
February 24, 2026
Six models. One question. Five said "probable." One said "certain." The difference is where the credibility lives.
February 23, 2026
Kraljic described the world we model. We have built the instrument that his diagnosis deserved.
February 21, 2026
When IBM Research's quantum verification discipline mirrors a procurement readiness framework — and a former IBM executive is the one who notices — it stops being an analogy.
February 4, 2026
What a Five AI Model Assessment of a 2010 eWorld London Presentation Tells Us in 2026.
February 1, 2026
IBM's time crystals won't fix procurement's 50-80% failure rate by the end of 2026. The readiness gap that's persisted for 27 years explains why.
Why Half of CEOs Believe Their Job Depends on Getting AI Right — And What the Discourse Keeps Missing
May 6, 2026
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AI Success Requires More Than Truth. It Demands Accuracy.