What is a characteristic of Digital Twin technology?

Digital Twin technology is characterized by its capability to create a dynamic software representation of real-world systems. This means that a digital twin is not just a static replica; it continuously updates and reflects the condition, behavior, and performance of its physical counterpart in real time. This dynamic nature enables businesses to monitor systems, predict failures, and optimize operations proactively.

Real-time data from sensors and other inputs contribute to the digital twin's constant evolution, allowing it to simulate scenarios and evaluate the impact of changes without affecting the actual physical system. This capability is crucial in sectors like manufacturing, healthcare, and urban planning, where understanding the interaction between systems and real-time feedback can lead to significant improvements in performance and efficiency.

The other options do not accurately reflect the nature of digital twins: they do not use manual tracking (which would be inefficient and impractical), they require data processing to function effectively (as they rely on real-time data to create accurate models), and they cannot be static, as their value comes from being constantly updated and analyzed.