Prediction of real-time digital twins adoption and simulation.
Dr. William Bain is an experienced leader in the development of software products for operational intelligence in live systems. With a Ph.D. in electrical engineering from Rice University, Bill has contributed to advancements at Bell Labs Research, Intel, and Microsoft, and holds several patents in computer architecture and distributed computing. He founded and ran three companies prior to ScaleOut Software and is an investor and member of the screening committee for the Seattle-based Alliance of Angels.
In 2023, Dr. Bain predicts the widespread adoption of real-time digital twins and the popularization of real-time data simulation. Real-time digital twins are able to track dynamically evolving state information in real time for thousands of individual IoT data sources. This provides an important breakthrough for streaming analytics, as insights can be utilized immediately rather than having to wait for offline data analysis. Real-time simulation with digital twins will also become an important tool for tracking live systems faster than in real-time and making projections that enable key optimizations.
Digital twins can simulate thousands of data sources, such as passengers within a large transportation system or components within a municipal water and power infrastructure to predict behaviors that must be mitigated. They can also collect telemetry from live systems and replay this telemetry in simulation to evaluate alternative outcomes and optimize real-time monitoring. As developers and organizations face increasing demands to better manage their complex live systems, the use of digital twins in simulating real-time systems will offer a powerful tool for modeling behavior, improving real-time analytics, and making predictions.
In 2023, Dr. William Bain expects the widespread adoption of real-time digital twins and the popularization of real-time data simulation to offer new insights that were not previously possible. Real-time digital twins will provide an important breakthrough for streaming analytics, as insights can be utilized immediately rather than having to wait for offline data analysis. Real-time simulation with digital twins will also become an important tool for tracking live systems faster than in real-time and making projections that enable key optimizations. With these novel technologies, developers and businesses will be able to extract deeper operational intelligence and make informed decisions quickly.
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