Greg Owens

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

Scott Luton: “SAP Sapphire 2026 featured a major emphasis on the Autonomous Enterprise and AI-powered business operations. From your perspective, what was one session (or prevalent theme amongst attendees) that you found to be particularly intriguing? And why?” Richard Howells: “Great session by Dominik Mark Metzger on the Future of Supply Chain – SAP Sapphire Virtual – Session Catalog. At SAP Sapphire, we’re introducing Autonomous Supply Chain Management, enabled by new Joule Assistants and Industry AI scenarios that apply this model to daily operations across planning, manufacturing, logistics, engineering, and asset management. General availability will be phased throughout 2026, starting now. By introducing a new set of AI-driven assistants and agents, we’re moving orchestration toward an autonomous operating model, where planning, manufacturing, logistics, and asset operations increasingly anticipate, coordinate, and resolve without manual intervention at every step. Highlight for me was the simple definition of the Autonomous Supply Chain where “People direct, AI Assistants orchestrate, and Agents execute”. Also, a callout to Rebecca Kaufmann from Takeda Pharmaceuticals for a great overview of how her company are, and plan to leverage AI to “augment human expertise and reduce the technical burden”.” Scott Luton: “There’s a growing sense across the industry that…