How ML is boosting automation across a network
With growing market demands, 5G evolution and latest advances in network platform architectures, the massive generation of a vast amount of data in Service Provider's (SP) networks is so enormous that it has become almost impossible for engineers in operations to understand, properly prioritize and correlate patterns in millions of events and sensor measurements. Today’s SPs have to invest a lot of efforts and resource in the optimization of the operational support services, so it becomes important to timely detect different hidden insights and patterns within the complex network networks and predict issues before they happen, or even trigger automatic remediation with a closed-loop control system. In this session, we discuss drivers, existing challenges as well as different use-cases for predictive analytics in complex SP network operations.