Vodafone Group IoT aimed to detect, communicate and resolve service-impacting anomalies in a better and faster way, in order to increase the quality of the IoT service and customer satisfaction.
The goal was to be able to detect anomalies in less than 5 minutes with a false positive rate of less than 5%, supporting 1 billion devices.
Celfocus developed a solution to improve service monitoring efficiency & healing capabilities through cognitive intelligence and automation platforms.
Leveraging a data-driven model, a Machine Learning framework for proactive and predictive network and service insights, and AI that augments human decision-mking for reliable decisions at scale, NGM provides a single pane of glass to manage and monitor the network and services.
NGM models keep real-time track of the expected traffic trend of over 100k time-series:
