Software AG's TrendMiner 2021.R2 Release Puts Machine Learning and AI in the Hands of Operational Experts New TrendMiner Multi-Variate Anomaly Detection Model Automatically Detects Deviations From Desired Operational Behavior Self-Service Integration With webMethods.io From Software AG Breaks Down Data Silos and Allows Easy Creation of Cross-Departmental Workflows HOUSTON, TX, HASSELT, BELGIUM, and DARMSTADT, GERMANY / ACCESSWIRE / May 6, 2021 / Software AG's TrendMiner has announced the release of TrendMiner 2021.R2. This new release extends the reach of previously released notebook integration, allowing analytics expert-users to make their data model outputs available to the rest of the organization, giving operational experts better insights. The new multi-variate Anomaly Detection Model allows optimal process conditions to be trained on historical data and the model will be able to detect anomalies on new incoming data. TrendMiner 2021.R2 also now allows self-service integration via webMethods.io. This enables contextual process information from other business applications to be taken into account and workflows in external systems to be triggered through the new Anomaly Detection Model.