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The next wave of advantages in wealth and financial services will not come from buying the most AI products. It will come from knowing how to govern, integrate, and run AI inside the business.  The recent Wealth Management article captures something real in the market: financial firms are surrounded by AI noise, and skepticism is rational. When 86 AI...
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This article was originally created and published by Alfred Thompson. We are grateful to Alfred for taking the time to speak with Richard Crane and for sharing this thoughtful conversation with the broader community. The following is reproduced with appreciation for his work. Talking Artificial Intelligence with Richard Crane from MILL5 Trying something new to...
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Every enterprise is running an AI pilot. Most will never make it to production. Here’s the architectural reason why – and how to fix it. The pattern is predictable: leadership approves an AI initiative, the team spins up a proof of concept in two weeks using a frontier model, the demo impresses the room –...
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AI Transformation Is a Workforce Dexterity Play (Not a Model-Selection Project)
Most companies now have access to powerful AI – often through tools they already pay for. Yet results are uneven. The gap is rarely “we don’t have the right model.” The gap is whether the organization can reliably convert new capabilities into new ways of working. That’s the core parallel to today’s AI moment: the...
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Illustration representing scalable EBITDA improvement across private equity portfolio companies using FinOps and workload consolidation.
PE operating partners are under pressure to deliver repeatable value across diverse portfolio companies. Portfolio-wide workload consolidation paired with disciplined FinOps has emerged as one of the most scalable EBITDA levers—reducing run-rate costs, improving accountability, and creating a defensible board narrative without disrupting operations.
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Enterprise AI use cases across supply chain, customer experience, R&D, and customer service driven by generative and analytical AI
Most companies can build AI pilots. Few can scale them. Learn how P&G’s “AI Factory” turns AI into a repeatable, governed capability—and how leaders can apply the same strategy to move from experiments to enterprise impact.
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In a single December 2025 enterprise AI strategy survey of 604 senior executives at large companies (5,000+ employees), 36% said AI is their #1 strategic priority, and another 47% put it in their top three.
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OpenAI’s focus on AI runtime efficiency is a signal for every business. As compute becomes the real constraint, organizations must rethink how they run AI across cloud and edge environments. The winners won’t be those that use AI the most—but those that run the right models, in the right place, at the right cost. MILL5...
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Discover how private equity firms can accelerate EBITDA growth using practical, production-ready AI. Learn how AI improves underwriting, claims, revenue cycle management, predictive maintenance, and operational efficiency across portfolio companies.
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Discover why most enterprises are overspending on AI infrastructure and how hidden cost drivers—from model selection traps to integration taxes—are draining budgets. This article reveals the five key factors behind runaway AI costs, offers a practical framework for technical leaders to optimize spending, and explains how organizations can regain financial visibility and maximize ROI on...
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