ScaleOut Software is adding generative AI and machine-learning (ML) powered enhancements to its ScaleOut Digital Twins cloud service and on-premises hosting platform with the release of Version 4.
This latest release introduces generative AI integration through OpenAI’s large language model, significantly expanding the ability of digital twins to analyze data, detect anomalies, and provide real-time insights when monitoring complex live systems.
By leveraging these capabilities, operations managers can quickly pinpoint and address emerging issues while reducing their workload, according to the company. Version 4 also adds automatic retraining for ML algorithms running within digital twins, continuously improving their monitoring capabilities as they process new telemetry data.
ScaleOut's Version 4 generative AI and ML features move real-time monitoring towards fully autonomous operations that boost both safety and efficiency in managing large, complex systems.
The company said this technology can be applied across numerous industries, including transportation networks, security systems, smart cities, and military asset tracking.
“ScaleOut Digital Twins Version 4 marks a pivotal step in harnessing AI and machine learning for real-time operational intelligence,” said Dr. William Bain, CEO and founder of ScaleOut Software. “By integrating these technologies, we’re transforming how organizations monitor and respond to complex system dynamics—making it faster and easier to uncover insights that would otherwise go unnoticed. This release is about more than just new features; it's about redefining what’s possible in large-scale, real-time monitoring and predictive modeling.”
Key features and benefits of ScaleOut Digital Twins, Version 4 include:
- Perform automatic Anomaly Detection with Generative AI
- Easily create data visualizations and queries with Natural Language Prompts
- Automatically retrain ML algorithms in Live Systems
- Additional collaboration and performance enhancements
Application developers can take advantage of ScaleOut's open-source APIs to construct digital twin models for real-time monitoring and simulation on the ScaleOut Digital Twins platform, according to the vendor.
To streamline development, an open-source workbench allows developers to test applications before deploying them across thousands of digital twins.
Built on highly scalable, in-memory computing technology, the platform supports the live analysis of data from IoT devices and other sources, delivering actionable insights in seconds. It also runs large-scale simulations to optimize the design and operation of complex systems such as transportation networks, logistics operations, military scenarios, and smart cities.
For more information about this news, visit www.scaleoutsoftware.com.