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.

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“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.”

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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.

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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#.