Kendra Miller

Special Guest Blog Post written by Matt McKinney, Co-Founder and CEO of Loop   I spend most of my time with supply chain and innovation leaders at major enterprises who are sitting on significant AI budgets but struggling to show measurable business impact in an increasingly complex and volatile supply chain environment.   These conversations have evolved dramatically. A year ago, executives were asking basic questions about AI feasibility. Today, the questions have shifted to strategic implementation at enterprise scale.   Based on hundreds of these discussions, three questions consistently emerge that separate companies making transformational progress from those stuck in pilot purgatory.   How do we move from AI experiments to enterprise-scale impact?   Most organizations have yet to see organization-wide, bottom-line impact from AI use. This is the strategic challenge keeping C-suite leaders awake at night.   The problem isn’t the technology. It’s the application of the technology. Too many enterprises are trying to treat AI like a magic wand they can bolt onto existing systems. But garbage in, garbage out. If your underlying data is fragmented and inconsistent, AI won’t solve your problems; in fact they’ll get worse.   At its core, anything automated is powered by…

Six industry leaders reveal how to build data agility—and why it’s the key to competitive advantage. Most teams spend 70–90% of their time preparing data—not analyzing it. By the time data is ready for analysis, the market has moved. Opportunities vanish. Competitors act. One company nearly built a $400M facility 550 miles from the optimal location. The cost of that mistake would have been $2 billion over the plant’s lifetime. They caught it with always-on data analytics. Would you? “In uncertainty-driven environments, expanded analytical capacity translates directly to resilience. Organizations that can model more futures make more informed commitments.” Download the white paper to discover: Why data—not talent or technology—is the real bottleneck How leading organizations are building reusable data infrastructure that cuts prep time by 80% What data agility unlocks: faster refreshes that deliver savings now, coverage across every business and region, and the capacity to finally tackle cost-to-serve, risk analysis, and inventory optimization The shift from ad-hoc projects to always-on decision-making capability Featuring insights from veterans of Cargill, Nestlé, McKinsey, and more. DOWNLOAD NOW