Heterogenous Data Ingestion at Scale
Using its machine learning and event analytics capabilities, Assure1 allows you to take in large amounts of historical and real-time event data at large scale. It provides you with the ability to search and analyze across all faults and realize specific, operational efficiencies.
With machine learning and event analytics, you leverage industry-standard machine learning algorithms with special data filters to normalize data, ensuring correct patterns are fed into the machine learning engine.
Using these data streams, the solution helps you detect anomalies, such as temporal deviations, statistical rarities and unusual behaviors, to generate a singular root causal event in the Assure1 event console. Root causal events contain suppression patterns that filter out noise to improve NOC operators’ rate of predictability to resolve problems versus responding to a storm of event alarms.