As part of the trend toward more automation and intelligence in enterprise networks, artificial intelligence and machine learning are increasingly in-demand because the ability to programmatically identify problems with the network and provide instant diagnosis of complex problems is a powerful one.
Applying AI and ML to network management can enable the consolidation of input from multiple management platforms for central analysis. Rather than IT staff manually combing through reports from diverse devices and applications, machine learning can make quick, automated diagnoses of problems.
