Machine learning takes a load off in network management
In many organizations, network professionals have developed a semi-automated network management system using rule-based systems. When a rule, such as a certain load level that could slow network performance, is reached, it triggers an action, such as notifying network professionals of a potential service disruption. Although rules help network professionals react to events, they must be evaluated and updated frequently to ensure that they’re appropriate for, and in synch with, the ever-evolving network. Read more…