Towards Superintelligent Network Operation Centers

Speaker: Prof. Shervin Shirmohammadi (the University of Ottawa, Canada, the School of Electrical Engineering and Computer Science)
Title: Towards Superintelligent Network Operation Centers
Abstract: In this talk, I will present some highlights from my research projects in collaboration with Canadian company Ciena Corp. on the use of machine learning (ML) for automating network operation centers (NOC). In today’s NOCs, non-trivial issues are resolved manually and with the collective human intelligence through specialized support teams organized by technology domains, who themselves communicate with the equipment vendors’ technical support. In this talk, we will see the application of ML to automate those operations. Specifically, we will see how ML can be used to diagnose and localize network faults, and to recommend actions to remedy faults and/or improve performance. Of particular interest will be the application of reinforcement learning to manage an NOC with a performance that’s better than human-defined expert rules, potentially leading to the superintelligent management of a network.
#superintelligence #networkoperationcenter #machinelearning