Closing the Autonomy Gap: How CSPs Can Move from AI Experiments to Network Operations Transformation

Modern communication service providers operate networks that are increasingly software-driven, cloud-native, and open. Such networks are intended to offer new-age, faster services to customers, with a high degree of operational automation. However, operation centers primarily rely on manual processes, skill-based functions, and fragmented tools.

With growing network complexity, a structural creates an autonomy gap. While executives want AI-driven processes, high resilience, and the swift realization of new revenue options, day-to-day operations remain ticket-driven, reactive, and functionally siloed.

This challenge is intensified as telecom infrastructure evolves. With 5G advanced rollouts, early 6G research, artificial intelligence in Radio Access Networks (AI RAN) concepts, and edge computing, intelligence is being integrated across the network while redefining telecom infrastructure.

At the same time, the network boundary itself is expanding. With non terrestrial networks (NTN) gaining momentum, CSPs are increasingly integrating low-earth-orbit satellite, direct to device, and hybrid SATCOM architectures to extend coverage, improve resilience, and support critical use cases across maritime, aviation, remote industries, and public services.