Agama self-learning AI Anomaly Detection
October 16, 2018
Agama Technologies, the specialist in video service quality and customer experience, has introduced AI Anomaly Detection. Powered by AI and machine learning, this new extension provides enhanced awareness of real incidents and elimination of irrelevant alarms, which Agama says enables service providers to deliver optimal service quality to customers with greater efficiency.
To deliver video services that meet or exceed customer expectations, service providers must act quickly when quality and usage Key Performance Indicators (KPIs) deviate from their normal range. What is normal, however, can change over time and vary greatly depending on the time of day or day of the week. These fluctuations limit the usefulness of alarms based on fixed thresholds. Agama believes a more intelligent approach is the way forward. Consequently, Agama’s new feature AI Anomaly Detection automatically identifies anomalies based on information from every subscriber and provides actionable alerts, clear visualisation of detected anomalies and powerful interactive analytics.
“We are excited to introduce the new AI Anomaly Detection feature,” said Johan Görsjö, Director of Product Management at Agama Technologies. “Separating actual anomalies from normal variations in KPIs is an excellent example of how AI and machine learning can be applied to video service assurance in a way that addresses real-world needs.”