AI-Native RAN: From Innovation to Deployment

OBJECTIVE:

AI is moving from an emerging capability within the telecom network to a fundamental component of how future radio access networks will be designed, optimized, and operated. As the industry moves toward AI-native RAN, the critical question is no longer whether AI can improve network performance, but how operators, technology providers, and policymakers can move these innovations from trials and demonstrations into scalable, secure, and commercially viable deployments.

This session brings together industry and government perspectives to examine what it will take to accelerate the transition from AI-RAN innovation to real-world deployment. The discussion will explore how AI can be integrated directly into RAN architecture and infrastructure, the role of AI and accelerated computing, automation and intelligent network optimization, energy efficiency, network performance, and the evolving requirements for secure and interoperable AI-native telecommunications networks.

SPEAKERS:

  • Amanda Toman - Director, Innovation Fund, NTIA

  • Anand Chandrasekher - Founder, CEO, Aira Technologies

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Abe Nejad