Masterclass: Designing the brain and nerve system of autonomous networks
Masterclass
Autonomous Networks require more than automation—they need an intelligent architecture that enables networks to sense, decide, and act with minimal human intervention. This masterclass explores the core building blocks of Level-4 Autonomous Networks, focusing on how AI-powered agents, intent-driven orchestration, and self-healing capabilities work together to create closed-loop automation across network domains.
Participants will learn how these capabilities interact across data, intelligence, and execution layers, and how operators and vendors can implement them using TM Forum frameworks, Open APIs, and modern AI architectures.
Key topics include:
- Intent-driven network operations and service outcomes
- AI and agent-based decision systems for network operations
- Self-healing domains and closed-loop automation
- The role of observability, digital twins, and knowledge graphs
- Architecture patterns enabling Level-4 autonomy
This session combines visionary architecture thinking with practical implementation patterns, helping participants understand how to design the intelligence layer of next-generation networks.
Led by Olta Vangjeli, AN Programme Director, TM Forum and Dmytro Gassanov, Architect, Network and Cloud, TM Forum
Participants:
Jörg Niemöller, Expert of Analytics and Customer Experience, Ericsson
Andrey Silva, Senior Researcher, Ericsson
Hans Neff, Deputy CTO European & American Regions, ZTE
Kevin McDonnell, Senior Director, AI and Network Autonomy (Autonomous Networks), Huawei
Qin Wu, Director, Huawei
Session speakers

Jörg Niemöller
Expert of Analytics and Customer Experience


Andrey Silva
Senior Researcher


Hans Neff
Deputy CTO European & American Regions


Olta Vangjeli
AN Programme Director


Kevin McDonnell
Senior Director, AI and Network Autonomy (Autonomous Networks)


Qin Wu
Director


Dmytro Gassanov
Architect - Network and Cloud

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