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Achieving autonomous networks: Evolution towards full autonomous networks

URN C25.0.792
Topics AI (Artificial Intelligence), Autonomous networks

Evolution towards Full Autonomous Networks and measuring benefits

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Our Catalyst project pushes the boundaries of digital operations by demonstrating a fully autonomous network at Level 5 (L5) capability, as defined by TM Forum’s Autonomous Network Levels (ANL). Key Features and Approach: AI and Generative AI (GenAI) enablers across different dimensions from intent definition, identifying and troubleshooting problems to delivering closed-loop automation to automatic problem resolution, the focus is to address how to enable the transition from human led operations to system led operations. This approach is at a service layer that spans multi-domain networks and the entire service lifecycle. Digital Twins to enhance service qualification and service configuration processes. Higher success rates by running servcie qualifcations via Digital Twin. Any potential changes to the network are validated by testing their impact within the Digital Twin environment. Core Benefits for CSPs: * Business Expansion: Open networks to new monetization opportunities. * Superior Customer Experience: Agile operations that deliver consistent, high-quality services. * Cost Optimization: Reduced complexity leading to streamlined and efficient operations. With a focus on Intent, Awareness, Analysis, Decision, and Execution, our solution establishes a transformative framework for autonomous operations. Enhanced observability, knowledge graphs, and AIOps-driven closed loops enable the network to detect, diagnose, and resolve issues autonomously, driving new levels of operational efficiency and reliability. By pioneering GenAI and Digital Twin capabilities, our project boosts service quality, responsiveness, and scalability, setting a new industry benchmark for intent-driven networks that continuously adapt to evolving demands.

Team members

Microsoft Corporation logo
Nokia logo
Qvantel Oy logo
Telstra Corporation logo
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