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AI-driven network automation for traffic and service resilience - Phase II

URN M25.0.821
Topics AI (Artificial Intelligence), Autonomous networks, CaaS (Connectivity as a Service)

Empowering networks with AI: Boosting resilience, reducing costs, and unlocking new telecom business possibilities.

Global telecom infrastructure is under pressure from increasing service demands, operational complexity, and high-impact outages such as undersea cable cuts or recent network disruptions in Spain and Canada. These events expose critical gaps in traditional network operations; manual traffic rerouting, slow fault detection, and high resource costs. Networks today are often overprovisioned, underutilized, and incapable of responding dynamically to service disruptions or energy-saving opportunities. This Catalyst project presents a transformative solution; an AI-powered, intent-driven network architecture designed to deliver predictive, self-healing, and zero-touch operations. Building on Phase I, which introduced intent orchestration, service decomposition, and resource mapping, Phase II accelerates full-scale implementation. The system analyzes real-time traffic patterns, prioritizes services using QoS metrics, and enables natural language interactions through GenAI & LLM. By aligning with TM Forum’s Open Digital Architecture (ODA), GSMA’s Open Gateway, CAMARA APIs, and 3GPP/ORAN standards, this solution also enables interoperability across OSS/BSS systems, cloud platforms, and network domains. It ensures secure, programmable access to network functions and data, supporting dynamic service orchestration and real-time visibility across ecosystems. The vision is to evolve telecom networks into intelligent, adaptive platforms that reduce cost, optimize resource usage, and meet environmental goals. Not only the project enables predictive maintenance but also empowers CSPs to offer advanced, monetizable services like intent-based Connectivity-as-a-Service (CaaS) under B2B2X models. Repositioned the CSP back to the core. Through automation, autonomous networks and AI, the Catalyst enables networks to: * Reduce Mean time between failures (MTBF) with autonomous, predictive restoration. * Avoid overprovisioning by aligning infrastructure growth with real demand. * Cut OPEX through intelligent operations and zero-touch responses. * Optimize energy consumption, scaling capacity while minimizing emissions. * Maximize asset utilization, treating infrastructure as an elastic resource. * Enhance integration & security, ensuring cross-domain interoperability. * Increase sustainability by aligning performance with environmental KPIs. This project targets a measurable business impact: up to 80% improvement in service resilience, 50% reduction in operational time and cost, and 60% faster time-to-market. It empowers CSPs to reduce churn, elevate customer experience, and unlock new revenue with programmable, agile offerings. Ultimately, this Catalyst lays the groundwork for Level 4/5 autonomous networks. It redefines network operations; from reactive workflows to predictive, self-optimizing systems to ensure telecom networks can scale, adapt, and thrive in a future where performance, resilience, and sustainability are not optional, but essential. Let’s connect at DTW25 – Ignite in Copenhagen and meet our Catalyst team in Hall 3, Catalyst kiosk i.2.8.

Resources

Glossary: 1. Explore the Previous Phases : This section focuses on reviewing what has been accomplished in prior stages of the project (Phase-1 in the Innovate Asia '24) 2. Catalyst Introduction : Introduces the Catalyst Project, offering various media and documents to familiarize stakeholders with the initiative’s objectives, scope, and importance. 3. Team Collaboration : Highlights how the project team works together, leveraging both in-person and digital approaches. 4. Solution Architecture & Validation : In this section, the focus shifts to the technical design and verification of the solutions proposed in the project. 5. Voices of Our Leads : Presents insights and perspectives from the project’s leading figures, shedding light on vision, strategy, and research directions. 6. Reference Solution : Provides existing technologies or solutions from the team members that are relevant as references or building blocks within the project.

1. Explore the previous phases of this project

AI-driven network automation for traffic and service resilience Phase-1

2. Catalyst Introduction

Project Infographic

Project Interview with "The Agile Telco" Magazine

Catalyst Project Introduction Video

3. Team Collaboration

Hybrid Workshop in Paris

Team Meeting at Accelerate 2025, Cascais

The Great Squad

4. Solution Architecture & Validation

Energy Efficiency in Communication Networks

Business Outcome Validation by CSP

5. Voices of our leads

Andreas Polz, Beyond Now Chief Evangelist and SVP TM Forum Distinguished Fellow – Co-Chair TM Forum Open APIs

Dr. David Hock, infosim, Director of Research

6. Reference Solution

Infosim StableNet

Telin Submarine Cable System

NTT’s LLM “tsuzumi”

DGS Wireless Network Optimization

Shabodi NetAware

Beyond Now Digital Business Platform

Orange Digital Twin

Chunghwa Telecom Data-Driven Autonomous Networks

Contact team

Email the members of the Catalyst team to request more details.

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Team members

Beyond Now GmbH logo
Chunghwa Telecom Company LTD logo
Champion
DIGITAL GLOBAL SYSTEMS logo
Infosim GmbH & Co. KG logo
Julius-Maximilians-Universität Würzburg
MTN Nigeria logo
Champion
NTT Group logo
Champion
Orange logo
Champion
PT Telekomunikasi Indonesia International logo
Champion
Seacom ltd logo
Champion
Shabodi Corp logo
Tallence AG logo
Telecom Italia SpA logo
Champion
Verizon Communications logo
Champion

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