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Truth Is Believing. Accuracy Is Knowing.
Browsing All posts tagged under »business«
Operationalizing AGR Compliance: When Diagnosis Meets Measurement Under the August 2026 Deadline
May 18, 2026
The AGR Index™ methodology does not assume clean environments; it implicitly assumes substrate inconsistency already exists.
What the Tealbook–Supplier.io Merger Surfaces About Supplier Data Validation — And What Has The Combined Platform Figured Out That The Public Positioning Has Not Yet Surfaced?
May 13, 2026
"As more CIOs begin to recognize the impact of the shadowy waves, are procurement professionals and providers ready to join the conversation?"
Is The Failure Of Your AI Initiative Already Decided By What You Did In 2016?
May 9, 2026
Three technology waves accumulated before AI arrived. The Hansen Deflator Formula™ measures what AI deployments lose to the inherited substrate — and what changes the math.
What Is The Compounding Technology Shadow Wave™?
May 8, 2026
AI doesn't sit alongside the prior shadow waves — it consumes them. The Compounding Technology Shadow Wave™ explains why AI initiatives struggle beyond the pilot stage.
Marijn’s Data Is Wave Four: Why the AI Adoption Gap Was Always Going to Look Like This
May 8, 2026
The shadow AI adoption gap isn't a 2026 problem. It's the fourth time the same pattern has played out in thirty-five years.
We’ve Seen This Before. And It Didn’t End Well.
May 3, 2026
What's in a title? Very little if it doesn't reflect how the real world operates.
Bolt-Ons. App Sprawl. Replicated Lakehouses. Same Open IKEA Box.
May 1, 2026
Here’s evidence the industry has been solving the wrong problem—for 30 years.
A practitioner built the perfect AI Agent, now what is the “BUT”?
April 29, 2026
She built an AI agent that hits every metric. That's exactly when the system around it starts to break.
The Same Answer for Thirty-Five Years: AI Literacy, Change Management, and the Substrate Question Gartner Is Not Asking
May 19, 2026
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It is largely at the substrate alignment level that an initiative's success in any technology era is determined. Is more training and change management the answer?