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Digital Twin is a near-real-time digital image about the historical and current behavior of a physical object or process that helps optimize business performance. Digital twins exist at the nexus of physical engineering, data science, and machine learning, and their value translates directly to measurable business outcomes—reduced asset downtime and maintenance costs, improved plant and factory efficiency, reduced cycle times, and increased market agility.
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