Digital Twins: The Data-Driven Future of Businesses
<p>Digital twins are virtual representations of physical systems that promise to transform industries through data-driven simulations. This primer provides a comprehensive overview of digital twins and their evolving role across sectors. It explains key concepts, architectures, capabilities, benefits, challenges, and thought leadership perspectives surrounding this emerging technology. Relevant examples illustrate the immense potential of digital twins and how they can be strategically implemented to drive value. This primer covers technical and business aspects of digital twins, catering to diverse audiences exploring this space.</p>
<p><em>What Are Digital Twins and How Do They Work?</em></p>
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<p>A digital twin is a virtual representation of a physical asset or system that mirrors it over its entire lifecycle. The physical twin has sensors that collect real-time data on vital performance parameters like temperature, pressure, vibration, etc. This data is relayed to the digital twin to update its virtual model.</p>
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<p>The digital twin combines this real-world data with simulations and analytics to generate insights. For example, it can run “what-if” scenarios to predict failures, identify optimization opportunities, and test control settings without disrupting real-world operations. The insights from the digital twin are then applied to improve the performance of the physical twin.</p>
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