The BBF CloudCO Demo successfully proves that AIM enabled by QED can autonomously generate proactive actions to mitigate and constrain network disruptions, improving the subscriber's experience while saving network maintenance costs.
Furthermore, with a reasonable number of QED Probes and Reflectors distributed evenly in a network, generating a meaningful statistical sample of Quality Performance Measurements, the OutSys ProbOS Correlator, powered by its deep learning algorithms, can predictively pinpoint where and how the Quality Degradation is building up and engage the AIM to avoid most disruptions altogether.