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.