The concept of 'digital twins' refers to virtual replicas of physical entities or processes that are used for simulation and analysis. These models represent real-world objects, systems, or environments, enabling businesses to predict performance, optimize operations, and conduct troubleshooting in a risk-free virtual space. Digital twins can incorporate real-time data from IoT sensors, providing insights into operational conditions and supporting data-driven decision-making. This technology is increasingly utilized in industries such as manufacturing, healthcare, and urban planning, enhancing efficiency, innovation, and predictive maintenance strategies.