In the process of analyzing incoming telemetry, digital twins maintain and continuously update information about the dynamic state of a live system. Operations managers can query and analyze this information for better situational awareness, which helps in decision-making when issues arise. The integration of generative AI enhances the ability of digital twins in performing these tasks. In addition to helping develop code that runs within digital twins, AI can assist managers in creating and interpreting queries to help them find and respond to dynamic issues.
For example, smart cities rely on IoT sensors saudi arabia rcs data embedded in systems such as traffic control, energy grids, building management, and water/sewer networks. These sensors continuously generate massive amounts of live data, which digital twins can monitor for anomalies. However, the overall complexity of systems like these can be challenging to manage. Generative AI can add the next level of analysis to help managers assess the scope of emerging incidents and react more effectively. It can look for anomalies that span many components and present real-time analytics that pinpoint problems. It can also determine when to issue real-time alerts to appropriate emergency responders, giving them vital time to address issues before they escalate.