Self-Intelligent Network Industry Pioneer Innovation Center Officially Inaugurated
[Shenzhen, China, November 8, 2025] The 2025 Smart Network Innovation Forum was held during the 3rd Network Innovation and Development Conference. At the forum, in the self-intelligent network industry experts, enterprise representatives and scholars witnessed, the "self-intelligent network industry pioneer innovation center" was officially inaugurated. The establishment of this industry innovation platform marks the development of self-intelligent network industry into a new stage.
Currently, the self-intelligent network industry is in a critical period from L3 to L4. By 2025, the self-intelligent network L4 technology has been implemented in multiple industries in China and has been piloted in the initial phase outside China. The era of deep integration of AI technologies and network O&M has arrived. Self-intelligent networks are becoming a key force driving industry digital transformation and upgrade. This "Smart · Mastering the Future, Self-Intelligent Network Forum" grandly held the "Self-Intelligent Network Industry Pioneer Innovation Center" inauguration ceremony. The innovation center will bring together the forces of industry, university, and research to build an open and collaborative industry cooperation platform, and promote the unification of technical standards and the transformation of innovation achievements of self-intelligent networks.
As a representative of emerging technologies in the intelligent era, AI accelerates digital intelligence in thousands of industries. Zi Gege, a researcher at the AI Institute of the China Academy of Information and Communications, shared "A Brief Analysis of Agent Technology and Application." Ziegger systematically expounds the basic principles of agent technology and its application scenarios in self-intelligence networks. She said efforts to consolidate the foundation of smart technologies could further promote the inclusiveness of smart applications.
With the development of large model technologies, agents will become more intelligent and autonomous, bringing revolutionary changes to network O&M. Ma Junfeng, Chairman of the NIDA Self-Intelligent Network Working Group and Deputy Chief Engineer of the Institute of Technology and Standards of the China Academy of Information and Communications, shared "Intelligent Application Accelerates the Development of the L4 Self-Intelligent Network Industry." Through the efforts of the Self-Intelligent Networking Working Group, we have implemented from standards to industry. It has developed on a large scale in the finance and education sectors.
Song Jianmin, vice director of the NIDA Testing and Certification Dept, shared the Strategic Plan of the NIDA Industry Committee. He proposed that the path for streamlining industry requirement collection and standard application implementation is to set up industry committees. In the future, NIDA plans to set up an education industry committee to lead network technology innovation and standard building in the education industry. Publicly promotes digital intelligence and globalization of education networks.
Li Yexing, a Huawei self-intelligent network expert, introduced the latest development of the self-intelligent network industry assessment system in the AEI Standard Outlook & Datacom AN L4 Industry Assessment Progress. With the release of the industry's first Agent-based Campus Network L4 O&M Technical Requirements, the self-intelligent network construction is finally set to follow.
Yu Qi, a teacher from the cloud network operating system R&D center of China Telecom Cloud Network Operation Dept, explained China Telecom's positioning and thinking in the digital transformation of cloud network operation by sharing the development ideas and application practices of China Telecom's self-intelligent network.
With the establishment of the "Pioneer Innovation Center for the Self-Intelligence Network Industry" and the gradual improvement of various technical standards, the Self-Intelligence Network Industry is ushering in a critical period to move towards L4 advanced self-intelligence. In the next few years, self-intelligent networks will move toward a higher degree of automation and intelligence.
