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AI - Lessons Learnt from World's Largest Network#

Open Networking & Edge Summit 2025 digest Program Core pick 31 March 2025

Abstract Recording

Dr. Junlan Feng, China Mobile Research Institute

Play the recording: AI - Lessons Learnt from World's Largest Network

  • Why: This is the ml-for-networking slot — a decade-plus of applied AI on the world's largest operator network, from intent-based operations to autonomous networks. For a PM interested in ML for infrastructure operations, hearing what actually worked (and didn't) at China Mobile's scale is a higher-value signal than most vendor AIOps pitches.
  • What: Lessons from China Mobile's AI journey operating the largest service-provider network: the progression from intent-based networking to automated/autonomous networks, and the role of open technology adoption in that progression (from abstract only).
  • How: Not specified in the abstract — expect a retrospective of AI/autonomous-networking deployments (fault prediction, closed-loop operations, intent translation) rather than a single novel technique.
  • Where applicable: Operator-scale and telecom-specific; the lessons about staging intent → automation → autonomy likely transfer, but the data and network scale are China Mobile's. Treat reported results with the usual caution until specifics appear.