Digital twins can help federal agencies

 

Digital twins can help federal agencies make better decisions by combining in-memory computing, distributed caching, and updated digital twin software models.   It's simply not possible for humans to process millions of fast-moving data sources in real time.  Digital twins can model data sources in simulation, enabling the creation of workload generators to assist in developing real-time analytics applications before deployment. Digital twins can aid in security monitoring, crime detection, transportation safety, and disaster recovery. This is done by analyzing data from tracking cameras, motion sensors, license plate telemetry, and sensor patterns and providing instant notifications to personnel. Real-time digital twins can track thousands of supplies nationwide, detect emerging forest fires, and predict their motion so firefighting assets can be mobilized and communities warned. Digital twins can help federal agencies improve decision-making and lower response times to mitigate security breaches, crimes, natural disasters, and cybersecurity threats. Hosting digital twins on an in-memory computing platform allows federal agencies and intelligence professionals to track millions of data sources and provide fast responses simultaneously.