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AI-ML Smart Network CapEx - Phase II

URN C25.0.768

Topics AI (Artificial Intelligence), Autonomous networks, Sustainability

Smart CapEx, using AI/ML to automate and optimize access and transport rollouts unlocking 15-25% CapEx efficiency gains while maintaining CX

Project companies

This Catalyst aims to improve the CapEx allocation process by addressing the double challenge of forecasting traffic more accurately, and automating and optimizing a network rollout plan that covers the traffic growth while maintaining CX. More accurate traffic forecasts require a user-friendly application to share Marketing’s commercial projections with the Network team, and translate them to the street level for both traditional, and new use cases. Calculating the optimal network rollout will make heavy use of AI algorithms in a Big Data environment, typically on the cloud. The business values are 15-20% CapEx and OpEx savings on the new Network investments and a significant OpEx saving on the existing Network Infrastructure. In this phase we focus on Transport and Core Network Planning, compared to the previous phase, in which we focused on the Radio Access Network.