uses automated ML, a rules engine, and Complex Event Processing (CEP) to build the intelligence and provides visualization and communication of the intelligence. Visualization and communication functions can alternatively be performed with your legacy or new OT system by simply connecting the intelligence output from eXponenceTM.

ContexAlyze™: Pattern Discovery and Analysis

Understanding your data in the context of operations and asset condition behavior is a critical step to define, design and develop machine learning (ML) applications.

The flexible visual analytics in ContexAlyze™ allow you to apply your expertise to discover the important patterns and features to build and validate your hypothesis for ML design. You can perform multi-variable pattern searches, create and store event frames, and perform cohort analysis; for batch processes, perform reference and golden batch analysis. You can also collaborate on data discovery with annotations and snippet sharing.

MetaTrainer™: Automated Machine Learning for SME’s

A fully automated machine learning (ML) tool for industrial subject matter experts (SME).

MetaTrainer™ allows the user to focus on their expertise to build AI applications with no need for any coding or programming. ML is used to generate feature significance, but the user can make feature selection based on their domain knowledge. Multiple models are trained and scored in parallel, recommending the ideal model to be then deployed on real-time data. Visual interpretability of model outputs provides clear understanding further increasing trust and adoption of AI.

Reckon™: Logic and Calculations

Reckon™ is used to build insights, KPI’s and alerts on real-time process and condition data, and the output of machine learning algorithms. Its highly visual, easy to use interface allows creation of simple logic and calculations or highly advanced equations without any scripting or coding.

QuarticView™: Insights, KPI’s and collaboration

QuarticView™ is a flexible, modern insight visualization tool to represent equipment health, operational performance KPI’s. Workflow status of actions from insights and alerts generated by machine learning and logic can also be visualized with intuitive and impactful visualization widgets. A variety of widget elements like dashboard tiles, charts and messaging queues can be used