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23-25 June 2026

Copenhagen

Autonomy in practice — Level-4 solutions that scale

June 24, 2026
11:00-12:00
Growth stage
Autonomous Networks
Autonomous operations

In this session, we’ll be shining a spotlight on CSPs which have moved beyond pilots into production-grade Level-4 autonomous networks. Through candid practitioner showcases and hands-on collaboration, we'll explore what actually scales (and what still breaks!) when autonomy meets real-world complexity. 

Moderator: Adaora Okelele, Principal Analyst, Analysys Mason 

11:00 – 11:15
Taking AN level 4 into live operations 

  • How CSPs industrialize ANL4 beyond controlled trials 
  • Unpacking the enablers for consistency across network domains 
  • How teams align processes, platforms, and governance for scale 
  • Gaining insights from early adopters navigating live deployment realities 


11:15 – 11:30
Scaling autonomous networks in live environments: From cloud-network convergence to experience assurance 

  • Embedding autonomy across RAN, transport, and core in high-density, multi-service environments  
  • Leveraging integrated cloud, edge, and network resources to enable real-time orchestration and cross-domain coordination  
  • Applying AI-driven assurance to detect, predict, and resolve issues across domains before they impact customer experience  
  • Enabling differentiated services for industries and regions while maintaining control, consistency, and operational efficiency 

Qian Bing, Deputy Director, Cloud & Network Department, China Telecom

11:30 –12:00 
One platform, full network: Unified AI-driven automation for autonomous networks  

  • The path to Autonomous Networks is well underway — but realizing its full potential requires moving beyond domain-specific automation toward a truly unified, AI-driven approach that spans the entire network 
  • Explore how to bridge the gap between RAN and Core automation, and what a consolidated platform model means for the industry's shared ambition of network-wide intelligence 
  • Examine how cross-domain AI use cases can drive measurable improvements in network predictability, observability and the delivery of differentiated connectivity and service continuity  
  • How to build on the momentum already seen in service deployment automation and extend it across the full network stack 


12:00 
Closing remarks


All timings are provisional and may be subject to change.

Session speakers

Adaora Okeleke
Adaora Okeleke

Principal Analyst

Analysys Mason
Krishna Kumar
Krishna Kumar

Principal Software Engineer

Deutsche Telekom
Afnan Ahmed
Afnan Ahmed

Director Network Strategy and Architecture

Telenor
Ronan Dai
Ronan Dai

Deputy GM of Service and Data Intelligence Products

ZTE
Bing Qian
Bing Qian

Deputy Direct, Cloud and Network Department

China Telecom
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