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March 2, 2023
ScaleOut Software has announced new device modeling and simulation capabilities for its Digital Twin Streaming Service, extending its ability to perform real-time analytics at scale using digital twins to track devices and other real-world data sources. Users can simulate data-source behaviors using digital twins prior to deployment, as a tool for evaluating design choices and improving decision making. This offers benefits to data analysts and managers in a range of industries, the company reports, including telematics, logistics, security, healthcare, crime prevention and financial services.
“We are excited to extend the capabilities of our streaming service to harness digital twins for both simulation and real-time analytics,” said Dr. William Bain, CEO and founder of ScaleOut Software. “By hosting digital twins using our highly scalable, in-memory computing technology, we enable our customers to simulate large systems with complex interactions and gain insights not previously possible.”
Managers can also use ScaleOut Software’s simulation capabilities to model thousands of interacting data sources and predict likely outcomes faster than real-time. For example, they can model the effect of delays for an airline’s flight schedule within a multi-hour, forward-looking window to predict and mitigate impacts on passengers caused by weather and equipment issues. This predictive capability can assist in decision-making during real-time operations.
Developers can harness the popular digital twin model to describe various physical entities using a powerful but easy to use, object-oriented representation of each device or data source. The ScaleOut Digital Twin Builder Toolkit lets developers construct digital twin models in both Java and C#.