Guavus has introduced Guavus Alarm IQ, an artificial intelligence (AI)-based network analytics platform designed to automatically classify and predict which network alarms will lead to incidents and reduce the number of alarms network operators need to pay attention to by more than 90%. The platform is intended to enable network operations center (NOC) teams to prioritize their resources and deliver a higher level of service to their internal and external customers at a reduced cost.
"Most NOCs receive a minimum of one alarm per second, about 86,400 a day - yet only 2-3% actually lead to true incidents or problems. The rest are simply noise that can and should be ignored," said Stephen Spellicy, Guavus vice president of products and marketing. "The problem is distinguishing the noise from the signal. Standard alarm de-duplication and management tools classify 10-20% of the alarms as critical, which is still too many to handle in one day. In actual field trials of Alarm IQ, network operators were able to reduce the number of alarms by more than 90%."
Using AI and machine learning algorithms, Alarm IQ automatically analyzes streams of alarms, classifies them, and predicts which alarms will lead to incidents so NOC operators can focus on a smaller subset of relevant alarms and ignore the rest.
- Alarm IQ is also designed to provide:
- An 84%+ reduction in Mean Time to Understand (MTTU) issues
- Alarms correlation and grouping based on root issue to reduce alarm overload
- Automatic periodic model re-training and model adjustment for accurate incident prediction
- Integration with OSS tools such as IBM Tivoli Netcool Omnibus and incident management products such as BMC Remedy. No training of NOC staff is required as Alarm IQ processes alarms prior to display in a NOC's existing UI.
Alarm IQ is built on the Guavus Reflex AI-based analytics platform, which is designed to support a range of applications as well as customizable "self-service analytics." CSPs can take advantage of Alarm IQ for alarm management and expand to leverage Reflex AI-based analytics for network planning and operations, mobile traffic analytics, marketing, customer care, security and IoT - or to build their own custom applications.