Browsing All posts tagged under »agent-based modeling«

The Algorithms Were Always in the Middle. They Were Waiting to Be Set Free.

September 18, 2026

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What is your AI missing that nobody told it to look for?

Business at the Speed of Thought Is Finally Possible. Are We Any More Ready for It Than We Were in 1998?

September 14, 2026

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Business at the speed of thought - are we ready for it? (1998 to 2026)

Double Marginalization and the Deployment of AI Agents

August 11, 2026

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Deploy an agent per function and every one of them will perform. That is the problem, not the reassurance.

Why I Have Never Quite Been Satisfied with the Term “Supply Chain”

July 25, 2026

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I've used the term "supply chain" my entire career — and never quite trusted it. Not the words; the mental model they smuggle in. A chain teaches you to hunt for the broken link. But nothing important moves in a line — it moves in a weave, and the failure is never in a single strand or thread. It's in the pattern.

McKinsey Documents in Luxury What This Archive Has Recorded Since 2004: It’s Time to Meet AI at the Edge

July 20, 2026

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McKinsey documents in luxury what this archive has recorded since 2004: where intent is first interpreted decides everything downstream. The physics never changed.

Gartner Makes Predictions. The Record Keeps Receipts.

July 11, 2026

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A prediction describes a future no one is accountable for. A record documents what happened — and can be checked. Gartner's five 2026 predictions, against nineteen years of receipts.

Why the Outcomes Debate Misses the Point

February 3, 2026

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Governance and outcomes are not rules. They are the linchpins of harmonization.

When an MIT Scientist Agrees: Adapt the Formula to Reality

January 23, 2026

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Why procurement needs to adapt the formula to reality versus the other way around - it's long overdue!

Independent 2025 Validation of 1998 Strand Commonality Theory: Practical Application for 2026

January 9, 2026

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"ProcureTech providers are not solution providers."

Where Data Platforms Fit — And Where Behavioral Diagnosis Must Lead

December 8, 2025

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With most AI projects derailed by data-readiness issues..." — Hammerspace is right. But data readiness isn't organizational readiness. Where do platforms like Hammerspace and Tealbook fit in the architecture — and what layer is still missing?