Existing IT and OT asset monitoring solutions are limited to fault detection and notification. Other critical routines (impact assessment, root-cause analysis, and corrective action identification) require triage and action(s) that occur external to the asset management solution. Existing shortcomings of these open-ended solutions include:
Lack of insights required to quickly determine the overall impact (breadth and depth) of an asset malfunction results in ineffective reaction.
Misidentification of root cause results in delayed fixes, excessive downtimes, and costly consumption of resources.
Lack of AI-enabled analysis of historical data and the inability to run trial fix simulations inhibits the ability to rapidly identify and implement the required corrective action.
that provides intelligence-based analytics on probable fault impact on asset (machine, network, etc.) performance as well as predictive overall impact to operations and customers.
via automated, AI-enabled, analysis of recent asset performance, historical fault analytics, and rapid execution of fault simulation models.
via simulation of various corrective measure to predict the most effective course of action and intelligent workflows that automate implementation.
MicroAI’s closed-loop fault mitigation provides operations with the means to respond to asset faults more quickly, more accurately, and more cost-effectively.
MicroAI closes the loop by bringing edge and endpoint AI to the entire ecosystem. Benefits include:
