Using a database or streaming hub for AI RAG just isn’t enough for real-time monitoring. Gen AI needs fast access to live data and context about a live system. ScaleOut’s memory-based digital twin technology makes it possible. Hosted on a scalable computing platform, an in-memory digital twin maintains an up-to-the-second model of a live system, able to instantly feed Gen AI telemetry and metadata. ScaleOut Digital Twins enables a new generation of intelligent real-time monitoring using Gen AI.
Gen AI also can assist users in visualizing data and checking for anomalies, It can help users create charts and queries and look for anomalies, avoiding the need for managers to constantly watch dashboards for emerging issues.
Gen AI models can interrogate an in-memory digital twin using the MCP protocol. This lets them easily access both real-time data and metadata.
Developers can select from a wide variety of binary classification algorithms in ML.NET and TensorFlow and evaluate them before deployment.
Digital twins can optionally make use of straightforward business rules to extend their functionality when incorporating ML algorithms.
ScaleOut’s digital twins incorporate Microsoft’s popular machine learning library, ML.NET, or TensorFlow to run ML algorithms. Using the ScaleOut Machine Learning Training Tool™, developers can select, train, evaluate, deploy, and test ML algorithms for use in real-time digital twins. Once deployed, the ML algorithm runs independently for each data source, examining incoming telemetry within milliseconds after it arrives and logging abnormal events.
ScaleOut’s ML algorithms can perform spike and trend detection for a single parameter or anomaly detection that looks for more complex patterns across multiple parameters. For example, after training with data acquired from live readings, anomaly detection can look at several parameters from a motor or pump to detect abnormal behaviors that might otherwise go unnoticed.
In this fourth video in the “Understanding ScaleOut Digital Twins” series, learn how AI models can use real-time data from digital twins for retrieval-augmented generation (RAG) to enhance accuracy and reduce errors. Discover how ScaleOut Digital Twins™ is integrating AI into the UI to automatically create queries and charts, helping managers stay on top of emerging trends.
