Gain access to resources and project updates

Register or log in to save your details for future use
First name
Last name
Business email
Company name
Job title

TM Forum will be processing the above information, with the assistance of our service providers located within and outside the European Union, to manage your registration to this event or report download, as well as to keep you informed about our services and products, future events and special offers, the organization of events, providing training and certification, and facilitating collaboration programs. Privacy policy

I wish to receive further information from the Catalyst Team about their products and service by electronic means. Check the "Team Members" section of this Catalyst Project to review the companies that will receive your information. Companies may join the project in the future, so please check back periodically for any updates

All projects

AI + Wireless Network O&M Intelligent Agent

URN C25.5.891
Topics AI (Artificial Intelligence), Autonomous networks, Data management

AI wireless ops, empowering Beijing, extending to 31 provinces!

featured image
The AI + large-model wireless network O&M intelligent agent focuses on three core areas: intelligent Q&A, data query, and intelligent analysis and decision-making. It incorporates five innovative features, including a customized smart tutor based on a knowledge graph and a smart O&M expert leveraging large and small model collaboration. All achievements have been deployed in Beijing with remarkable results, and several core capabilities have been widely adopted across 31 provinces in China. The key pain points in wireless network O&M can be summarized as follows: Cross-domain knowledge accessibility: Frontline optimization personnel and new employees struggle to access interdisciplinary expertise efficiently. Time-consuming data queries: Wireless network data is scattered across platforms like Network Optimization Home, requiring manual queries and consolidation across multiple systems. On average, each query takes about 2 hours. Expert-dependent problem analysis: Troubleshooting wireless network issues is challenging due to varying skill levels among staff, leading to low diagnostic accuracy. Reliance on expert experience delays real-time problem resolution.

Team members

China Mobile Communications Corporation logo
Champion
Huawei Technologies Co. Ltd logo
ZTE Corporation logo

Related projects