A technology toolkit that uses automated ML, a rules engine, and Complex Event Processing (CEP) to build the intelligence and provides visualization and communication of the intelligence.
Build Operations Intelligence with AI
eXponence™ Intelligence Engine uses automated machine learning, a rules engine, and complex event processing to build operations intelligence applications. The intelligence is then used in industrial workflows for reliability, quality, throughput, and energy to drive operational efficiency actions. The intelligence created with eXponence™ applications can be distributed across the enterprise at the edge and the cloud. Intelligence output can either be visualized in the Quartic platform or in existing OT, MES and ERP systems.
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™ allows 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.
Automated Machine Learning for SMEs
A fully automated machine learning (ML) tool for industrial subject matter experts (SME).
Project Builder 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, and the ideal model to be deployed on real-time data recommended. Visual interpretability of model outputs provides clear understanding further increasing trust and adoption of AI.
Logic and Calculations
Reckon™ is used to build insights, KPIs 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.
Operational Intelligence Workflows
QuarticView™ provides industrial workflow templates that allow you to easily create, operational performance monitoring and actions from the output of machine learning agents. Workflows for reliability, energy, production, and quality provide decision support and actions in the context of assets, unit operations and product. Actionable outputs can then be integrated with OT, MES, CMMS, and ERP systems.