Network visibility
Discover and model network resources within a unified digital twin.
Fast and frequent network changes
Autonomous network change management
This initiative enables networks to rapidly adapt to expansion, reconfiguration, optimization and service changes through AI-driven autonomous operations. Using intent-based decision-making, digital twins, intelligent orchestration and closed-loop assurance, the project demonstrates how CSPs can implement fast and frequent network changes while maintaining reliability, resilience and customer experience.
Visit the project at Innovate Asia, 17-19 November 2026
Explore and shape what's next
Scope and key activities
AI-native autonomous operations
Explore how autonomous networks can plan, execute and validate network changes using intent-driven operations, intelligent orchestration, digital twins and closed-loop assurance.
Open ecosystem & interoperability
Validate AI-native ODA principles, TM Forum Open APIs and multi-vendor interoperability to enable scalable and repeatable autonomous network operations.
Adaptive network operations
Demonstrate autonomous management of network expansion, reconfiguration, optimization and recovery while maintaining service continuity, operational control and customer experience.
Outcomes
Autonomous understanding
Establish a knowledge-driven view of network topology, services and dependencies.
Intelligent change planning
Enable AI-driven planning of network expansion and configuration changes.
Autonomous change execution
Implement network changes safely while maintaining service continuity.
Continuous service assurance
Monitor, validate and optimize services through closed-loop operations.
Autonomous recovery
Detect issues and restore services through AI-enabled remediation.
Cross-Domain Autonomy
Demonstrate end-to-end autonomous operations across network environments.
Make an impact
Ready to get involved and start building the future with industry innovators?