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.
