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Data Foundations for Building the Digital Procurement Organization
A practical maturity workshop on making procurement data usable, trusted and connected before scaling AI. The session will cover data quality, supplier and material master data, workflow discipline, ERP and procurement system integration, ownership models, governance and the guardrails needed for high-stakes sourcing decisions.
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Scott will explore why AI cannot compensate for poor process design – AI will accelerate and amplify existing workflows, which means organizations must address bottlenecks, governance and human decision-making before expecting meaningful ROI. For procurement leaders, this creates a timely discussion around operating models, sourcing workflows and decision rights.
Scott Weiner, AI Lead, Fractional CTO, Fractional Chief AI Officer, Business Agility Strategist, NeuEon
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Your ERP is very good at telling you what you paid last quarter. It’s far less helpful at telling you what you’re about to pay—or whether the materials you’re counting on will actually arrive on schedule. That gap is where margin quietly disappears. Direct materials leaders today are managing tariff whiplash, supplier concentration, critical-input exposure, and executives who want forecasts to the decimal point—while still making sourcing decisions off backward-looking data and contracts that were “set and forget” the day they were signed. More automation won’t fix that. Automating a blind process just gets you to the wrong answer faster.
What changes the game is a market-informed operating model: historical price intelligence, volatility signals, forward-looking forecasts, and AI that actually interprets what the market is telling you. Used together, they surface the exposure hiding in your bill of materials, flag disruptions before they become line-down events, and let you lock in price certainty instead of hoping for it. Whether you’re buying metals, resins, electronics, packaging, or chemicals, the principle is the same.
This isn’t a cost-cutting pitch. It’s about continuity you can trust, forecasts you can defend, and margin that stops leaking out the back door.
If you’re still managing volatility by reacting to it, this session is for you.
Lisa Reisman, CEO, MetalMiner
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Demo Hubs enable you to gather in packs and evaluate our vendors’ products and services – with live group demos, offering a unique opportunity to benchmark, critique and compare how peers might leverage the tech within their organizations.
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Shashi Mandapaty, Former CPO, J&J
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What Good Looks Like: The AI Performance Advantage in Direct Procurement
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Tim Riordan, Director of Procurement Americas, WIKA Group
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Build, Buy or Integrate: Choosing the Right AI Architecture for Direct Procurement
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This session looks at what actually happens once the AI tool is introduced into the day-to-day work of procurement teams: where it earned trust, where adoption stalled, what changed in practice, and what had to be adjusted along the way. What it took to move from “we bought this” to “this is now how we work.”
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Omer Abdullah, Founder, Proquria
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Demo Hubs enable you to gather in packs and evaluate our vendors’ products and services – with live group demos, offering a unique opportunity to benchmark, critique and compare how peers might leverage the tech within their organizations.
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The hardest part of AI adoption is getting people, teams, suppliers, IT, legal, security, and leadership aligned enough to use it with confidence. This wrap-up panel focuses on the human side of AI transformation in procurement: how to prepare the organization, reduce resistance, build trust, and move from isolated experimentation to embedded ways of working.
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Thank you for joining us!