The promise of the artificial intelligence self-driving network is straightforward: Instead of waiting for IT staff to identify a network problem, diagnose its cause and implement a fix, the network can increasingly do those things itself. But getting there requires more than adding AI to a traditional network management platform. It requires years of telemetry, a deep understanding of network behavior and enough confidence to let AI take action.

That is the approach HPE Networking is taking, according to Rich Carter, a national sales director with the company. HPE Networking began offering cloud-native networking architecture designed around microservices roughly a decade ago. As AI capabilities evolved, it began using network telemetry and customer trouble ticket data to identify recurring problems and determine how they could be resolved.

“Now the next step was, what do you do with that information?” Carter says. “We’ve gotten some great information from AI that allows the system to look at very common problems that happen on a customer network and actually have the system autocorrect.”

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