Digital twins are virtual representations of physical objects or systems, created to simulate their behavior and performance in real-time. They use data from sensors and IoT devices to mirror the physical counterpart, allowing for analysis and monitoring. The main characteristics of digital twins include their ability to predict outcomes, optimize operations, and enhance decision-making processes. Common use cases span various industries, such as manufacturing for predictive maintenance, smart cities for infrastructure management, and healthcare for patient monitoring. By leveraging digital twins, organizations can achieve greater efficiency and innovation.
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AI Fundamentals