
Cognitive Analytics Using Machine Learning


5G service requirements, user behavior and service creation will require closed loop ML networks and applications with self-optimizing and self-healing features.
With this technology, often classified as cognitive analytics, telecommunication companies can develop the two core solutions needed to keep pace with 5G networks:
Anomaly Detection
Predictive Demand
Behavior Recommendation

Anomaly detection
Feature set ensures the underlying network and customer support systems can self-correct and self-organize to keep pace with the high level service requirements (low latency, high reliability) that are required to support mission-critical applications.


