Browsing All posts tagged under »AI«

Fifteen Years Later: The 2010 Roundtable That Predicted Procurement’s Future

October 16, 2025

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Fifteen years on, are we finally ready to admit that technology fails when relationships and readiness fail?

Why Procurement Is the Biggest Gateway to Cyber Breaches—And Most Organizations Still Don’t See It

October 14, 2025

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Why does your organization's cybersecurity start with a purchase order?

AI Rollout Frameworks Miss the Critical First Step: Readiness Assessment

October 12, 2025

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"We know we need AI, but where do we start?" — Every VP at DPW Amsterdam

Hansen Fit Score Case Study: Optimal Ecosystem Configuration for Pharmaceutical Procurement

October 10, 2025

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Why 80% of pharma procurement transformations fail and the ecosystem configuration that doubles success probability. HFS framework case study with data.

Behind the curtain of the DPW car show post (the working mechanics)

October 9, 2025

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How to translate ProcureTech AI theory into real-world, working mechanics.

DPW Showcases the Body — IBM and Anthropic Just Introduced the Engine

October 9, 2025

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Innovation looks exciting from the showroom floor, but without governance, interoperability, and readiness, procurement doesn’t move.

From AI Headlines to Readiness Reality: What IBM + Anthropic Means for Procurement

October 8, 2025

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In the world of procurement, why do practitioners, providers, and analyst firms have a Hansen Fit Score?

Coupa Acquisition Of Scoutbee And What It Means To TealBook And The Market In General

October 8, 2025

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A deeper assessment of the Coupa acquisition of Scoutbee - what does it reveal and why?

Deloitte just proved why the current tech-first approach to ProcureTech AI selection and implementation will continue to fail for most organizations

October 7, 2025

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How a Deloitte $440K report demonstrates why most tech-led ProcureTech AI initiatives will fail.

Pattern Recognition, Not Prophecy: Why I See What Others Miss (And My Certa/Vertice Assessment)

October 7, 2025

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Challenge the norm. Get it right over being right. Document what others won't. This is how pattern recognition (and AI) actually works.