The platform included an AI-enabled self-learning intelligent algorithm that continuously carried out predictive analytics on data consolidated from different systems for proactive troubleshooting. It then monitored precursors of failures, such as traffic flow, capacity, and utilization in near real-time. Key features of the solution included: