The rapid rise of AI is the biggest tech story of the last year, with far-reaching implications for commerce, employment, security and sustainability. Telco forays into AI have started with internal priorities (e.g. troubleshooting network faults) but this is pragmatic and only scratches the surface. This session will explore how AI and machine learning are becoming central to 5G network operations, with a particular focus on the RAN. As networks become increasingly software-defined, AI is enabling unprecedented levels of automation, real-time optimisation, and predictive maintenance – all of which are essential for meeting cost, energy, and performance targets.

  • Will AI-RAN help generate new revenue streams or should the focus be on efficiency gains?
  • Is it time to move from AI for Networks to a Networks for AI dynamic?
  • Does the rise of AI in the RAN risk creating new forms of vendor lock-in, or can open-source AI frameworks keep the ecosystem flexible?
  • How do we ensure that AI-driven decisions in the RAN are transparent, auditable, and aligned with regulatory requirements?
  • In an AI world, is net zero realistically possible? (Can AI meaningfully reduce the energy consumption of RAN infrastructure, or does it introduce new overheads?)
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