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Editorial Report: AI- and ML-based network automation: What's the promise and what's the reality?

As 5G continues its evolution toward broad digital enablement of the enterprise, the proliferation of artificial intelligence and machine learning in networks will be a crucial part of service providers’ strategies. For infrastructure, increasingly automated deployment, configuration and management accelerates time-to-revenue as closed technology stacks give way to open, cloud-native architectures.
For end user applications, the ability to anticipate customer needs and automatically deliver on constantly changing service level agreements simultaneously creates new, differentiated revenue streams while reducing operational costs.
In this report, we examine where we are today in this journey toward zero-touch networks and consider how the march toward network autonomy is informing operator investments and vendor strategies.
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