Keynote Lecture

Abstract
Digital Twins and Agentic Artificial Intelligence (AI) are driving a fundamental change in how enterprise information systems are designed, deployed, and managed. This new paradigm empowers business users to directly define and manage AI agents using intuitive, no-code tools and large language models emphasizing self-service analytics, enabling rapid, iterative decision-making and driving a shift from reactive to proactive enterprise management. This broader change has particularly profound implications for supply chain management, where conventional systems often struggle to provide the real-time adaptability and predictive insights required by today's dynamic global markets. In this talk, we explore how the convergence of digital twins and agentic AI is accelerating the reinvention of supply chain information systems. Digital twins create data-driven, real-time representations of supply chains, enabling continuous monitoring, scenario simulation, and performance evaluation. Building on this foundation, agentic AI introduces autonomy into decision-making, allowing AI agents to reason over alternatives, negotiate trade-offs, and coordinate actions across organizational silos, often by seamlessly integrating and orchestrating existing software tools and platforms. This presentation overviews the development of Ford's end-to-end supply chain digital twin, illustrating its foundational capabilities and the comprehensive visibility it provides. It demonstrates how agentic AI is incorporated into this digital twin environment to address critical practical challenges.