White Paper:
Enabling an Autonomous Agentic Network
With digital twin enabled decision making
Together with Appledore Research and Viavi, this whitepaper explores the path to highly autonomous networks, emphasizing that true autonomy is less about rigid control loops and more about managing decision-making risk across complex, interconnected systems. It argues that traditional models borrowed from self-driving cars do not fit the realities of network operations, where availability and adaptability are key.
This paper gives a revised framework to deliver a highly autonomous network. It advocates moving the focus of closed loop from one of control to one based on the management and optimization of decision-making across network and service lifecycles.