This IDC Perspective frames digital twin strategies in the context of today's data-model and AI-driven world. Now more than ever, companies require a unified strategy for industrial analytics initiatives to eliminate technical burden, reduce overlap in efforts, and drive high-quality insights for operations. "When I look at the way companies are talking about their challenges and approaches to AI, the core concepts don't feel new or different to me compared with the conversations around digital twins of the last decade," says Jonathan Lang, research director for Worldwide IT/OT Convergence research at IDC. "What's new is that this is now a C-suite imperative, and the stack of technology that can actually support the execution of a digital twin strategy has become highly capable."
Executive Snapshot
Situation Overview
What Is the Role of Digital Twins in Modern Technology Context?
Building Data Capabilities that Support Digital Twin Strategies
Advice for the Technology Buyer
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Synopsis
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