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Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
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Seeing double: what digital twins can do for your organization. |
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Welcome to Tech for Execs: quick primers on key technology terms to get leaders up to speed.
What are digital twins? The digital twin has become a buzzword, but the core concept is simple: a virtual replica of a real-life asset’s entire lifecycle. This could be a person, object, system, process, or business. You could create a digital twin of a new car model or your entire supply chain.
How do they work? A digital twin is designed to act like a real-world asset, so you can simulate different scenarios and gain insights from how it responds. Like in real life, not all twins are identical—the better the digital twin, the more you can learn. Many twins have an AI component, while the most mature ones can be updated in real-time.
How can they help organizations? A digital twin can be used in many areas of an organization, from design to manufacturing to sales. They’re major time savers and revenue drivers, helping businesses enhance predictability, enable automation, and track performance.
How do I get started? You’ll need a robust data infrastructure (from sources to quality control) to start with so you can keep your digital twins updated. Data engineers and data scientists can help with this. A clearly defined business case is essential, which involves considering where digital twins fit in your broader digital strategy and the use cases you want to leverage them for. Here’s a checklist to help you create a blueprint for success. |
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—Edited by Joyce Yoo, editor, New York
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