Digital twins are among the most sought-after business tools in the world today. One Internet-of-Things (IoT) analytics report shows that between 2020 and 2022, the digital twin technology market grew by 71%. The versatility that this technology offers, makes it attractive for varying businesses across industries. Digital twins are computer programs that utilize real-world data to develop simulations based on historical data and current conditions. These programs can integrate with artificial intelligence, IoT, and software analytics to improve outputs. IoT sensors facilitate the transfer of real-world data needed to create virtual twins. Using the simulations, businesses can predict how a process or product will perform. But, virtual twins aren’t just about simulation. They span the entire product or process lifecycle and have service, engineering, and manufacturing use cases. In this article, we delve deeper into the types of digital twin technology and its use cases. What is Digital Twin Technology? Digital twin refers to the technology that supports the creation of virtual representations of physical systems, processes, or objects. This digital twin is supported by various state-of-the-art technologies including artificial intelligence, IoT, big data, machine learning, IoT, and visualization technologies like augmented and virtual reality. Essentially, digital twins have three … The post Understanding the Dynamics of Digital Twin Technology appeared first on Tech Research Online.

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