AI-native RAN: three implementation strategies for operators

This recorded presentation provides a discussion about AI-native RAN between Caroline Gabriel, a partner in Analysys Mason and an expert in network and cloud strategies and architecture, and Adaora Okeleke, a principal analyst and Analysys Mason’s lead on AI technologies. The presentation outlines three implementation strategies for AI-native RAN and explores how each strategy increases the likelihood of a successful deployment if it aligns with an operator’s goals and current networks. 

The presentation helps players in the wider RAN ecosystem to contextualise operator decisions regarding AI-native RAN and understand how reducing risk factors can accelerate adoption of the technology. It is based on Analysys Mason’s internal research – including surveys of about 70 operators that are embarking on virtualised RAN and AI RAN journeys – and interviews with stakeholders in the RAN and AI market. For more information on the topic, see Analysys Mason's report AI-native RAN: implementation strategies.