Network Innovation and Development Alliance

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The NIDA self-intelligent network team released the enterprise O&M white paper in the Agentic AI era, enabling enterprises to improve digital intelligence productivity.

[Shanghai, China, July 27, 2025] The AI + Network Enabled Enterprise Digital Intelligence Innovation and Development Forum hosted by NIDA was successfully held during the World AI Congress (WAIC). During the conference, NIDA, together with seven partners, including Huawei, China Pacific Insurance Corporation, Shenzhen Zhicheng Communications, Bank of Communications, China Construction Group Northeast Design Institute, and China Unicom Research Institute, released the white paper "Enterprise O&M in the Agentic Era - O&M Blueprint for New ICT Infrastructure".Ao Li, chief engineer of China Academy of Information and Communications, attended the forum and said in his speech: "The core of AI and network convergence is to build an integrated service system of cloud, network, intelligence, and computing. This is not only an inevitable result of technological innovation, but also will reshape the innovation paradigm and development model of a wide variety of industries, and become the core engine driving industry transformation." Ma Junfeng, Chairman of the NIDA Self-Intelligence Network Working Group, interpreted the white paper, noting that: "In the Agentic AI era, new ICT infrastructures of enterprises will be service-centric and oriented towards ultra-high availability, excellent experience, and simplified operations. They will focus on the following three capabilities: Intelligent nativeness and resilience, intelligent self-intelligence capabilities of O&M systems, and adaptive and self-evolution capabilities of group intelligence. "This white paper analyzes the evolution trend of enterprise O&M towards digital intelligence and proposes the definition, vision, and key features of AEI ( Agentic Enterprise ICT-Infraucture ), a new enterprise ICT infrastructure Agentic O&M. Based on the AEI evolution pace and key enabling technologies, this document describes two high-value scenarios and reference architectures: enterprise data center and smart campus O&M.AEI features intelligent native intelligence (AI Native Infrastructure )), self-intelligent O&M (Autonomous O&M )), and crowd intelligence (Adaptive Multi-Agent )).AEI's vision is to build a new ICT infrastructure with agentic AI features, improve enterprise digital intelligence productivity, and enable high availability, excellent experience, and simplified operation of enterprise services.In the future, NIDA will work with partners to build new ICT infrastructures featuring Agentic AI. Agentic AI will support O&M system upgrades, boosting enterprises' digital intelligence productivity.
2025-07-29
35

Standard -- Advanced Productivity Tools

[Suzhou, China, July 28, 2025] During the 2025 Artificial Intelligence Products Application Expo, the 2025 Artificial Intelligence Cooperation Exchange Conference and the Inauguration Conference of the International Cooperation Branch of the China Electronic Enterprises Association, the Suzhou International Science Park and the Zhejiang University International Governance and Research Center were held in Suzhou. International Expo Center. Industry chain stakeholders from government departments, industry organizations, leading enterprises, standardization and testing institutions, etc. gathered together to discuss the cutting-edge trends of artificial intelligence and international cooperation paths, and actively promote the international competitiveness and influence of China's electronic and information industry.Deng Yiou, Secretary-General of Network Innovation and Development Alliance (NIDA), was invited to attend the conference and delivered a keynote speech on "Standards - Advanced Productivity Tools at Sea".With the continuous development and evolution of China's market, many industries in China have entered the world's leading ranks. However, the voice and leading power in the international market cannot match the increasing hard capabilities. As a result, enterprises often feel unable to meet their needs when they go to sea to participate in international competition. Deng Yiou believes that enterprises with advanced productivity should actively participate in the preparation of international standards, actively influence or even lead the formulation of rules, and hold the right to speak in standards. In this way, standards will become a powerful tool to help offshore enterprises gain a favorable position in international competition.NIDA is an international organization that focuses on network evolution and network construction standards. It is dedicated to helping global enterprises build more innovative network infrastructures by formulating network construction standards. Participating in the formulation of NIDA standards will help enterprises to turn their advanced productivity into the right to speak in standards, establish links with international standards and industry, and lay a good foundation for international development.At the meeting, the International Cooperation Branch of China Electronic Enterprises Association invited Secretary-General Deng Yiou and other six experts to serve as expert members of the International Cooperation Branch of China Electronic Enterprises Association to contribute to the international cooperation of electronic enterprises.Participation in the International Cooperation Branch of China Electronic Enterprises Association will help NIDA to establish cooperative relationships with more technology enterprises, further consolidate industrial forces, and jointly accelerate the development of the next generation network industry.
2025-07-30
14

NIDA Releases High-Quality 10GE AI Campus Technical and Standard White Paper with Multiple Standards Organizations Worldwide

[Shanghai, China, July 27, 2025] At the AI + Network Enablement Enterprise Digital Intelligence Innovation and Development Forum, NIDA has jointly released the Technical White Paper on High-Quality 10GE AI Campus Network Construction (hereinafter referred to as the White Paper). As the world's first systematic technical specification for AI campus network construction, the White Paper defines the concept and connotation of high-quality 10GE AI campus network, proposes three architecture systems: application architecture, technical architecture, and physical architecture, and six dimensions of network quality assessment from A to F. In addition, the recommended network architecture and indicators are provided based on industries and scenarios. The release of the White Paper fills the gap in industry standards in the AI campus network construction field and marks the stage of AI campus network construction from "technical exploration" to "standard-led" development.Guo Xiaoyan, chief engineer of China Northeast Design and Research Institute and chairman of the NIDA Campus Network Working Group; Yang Tao, secretary-general of the WAA Alliance; Zhao Shaoqi, president of the campus network domain of Huawei Data Communication Product Line; Lu Xi, deputy secretary-general of the Intelligent Branch of China Survey and Design Association; Yuan Li, standard director of ZTE Corporation Quan and Chen Jie, chief engineer of China Academy of Information and Communications, attended the launch ceremony.Campuses become core carrier networks in the AI era, and upgrades are imminent.As the core carrier of global economic activities, the park carries more than 80% of GDP and more than 90% of innovation activities. Guo Xiaoyan, Chairman of the NIDA Campus Network Working Group, pointed out: "The AI era has higher requirements on campus networks. Network technologies are constantly evolving. Different industries and scenarios have different network construction architectures and recommended specifications. 10GE and Wi-Fi 7 form the infrastructure foundation of next-generation campus networks. The Technical White Paper for High-Quality 10G AI Campus Network Construction is released, which summarizes the three-layer logical architecture and key technologies of AI campus networks. In the future, AI campus networks should be evaluated from six dimensions: (A) self-intelligent network, (B) 10GE ultra-broadband Ethernet, (C) ubiquitous connectivity, (D) defined experience, (E) energy saving, and (F) all-domain security. The Chinese version of the White Paper will be released at this forum. In the future, excellent cases from around the world will be included. Overseas partners will be invited to release the English version together to contribute China's strength to world standards. "Technical specifications fill gaps in the industry and accelerate the implementation of Huawei's solutions.Zhao Shaoqi, president of the campus network domain of Huawei Data Communication Product Line, said: "The AI campus is moving from vision to reality. First, the AI campus leverages AI to enable smart networks to connect everything. In addition, the AI campus also feeds back AI to enhance intelligence through networks and implements interconnection of all intelligent networks. On the whole, the AI campus should build a self-intelligent network with guaranteed experience, energy-saving, and all-domain security based on 10GE ultra-broadband and ubiquitous connections. Huawei's Star River AI campus network solution adheres to the experience-centric network construction concept. Through the wireless, application, O&M, and security experience upgrades, Huawei's Star River AI campus network solution works with customers and partners to build a high-quality 10GE AI campus. "In the future, NIDA will continue to work with industry standards organizations and vendors to promote the implementation of core technical specifications in the White Paper, accelerate the in-depth integration of AI technologies and campus networks, and promote high-quality development of AI campus networks.
2025-07-31
35

NIDA and Asia Pacific Advanced Network Association (APAN) signed a memorandum of cooperation to promote fixed network technology innovation and industry advancement.

[Hong Kong, July 28, 2025] Li Kun, Director of the Industry Development Department of the Network Innovation and Development Alliance (NIDA), was invited to attend the "IPv6 & 5G Working Group" meeting at the 60th Asia Pacific Advanced Network (APAN) Conference held in Hong Kong. During the meeting, he delivered a keynote speech and signed a Memorandum of Understanding (MoU) with Dr. NAVANEETHAN C. ARJUMAN, Chair of the APAN IPv6 & 5G Working Group. This signing marks a significant consensus between the two organizations in promoting the innovative application of network technologies (such as IPv6 enhance) and industrial advancement.Established in June 1997, the Asia Pacific Advanced Network (APAN) is the most influential non-profit educational and research network organization in the Asia-Pacific region. Its members span 23 countries and regions, including China, Japan, South Korea, and Australia. APAN is dedicated to promoting high-speed academic network interconnectivity and collaborative research on advanced network technologies within the region. Through its biannual academic conferences, APAN brings together global experts to discuss cutting-edge topics such as next-generation internet, cybersecurity, and artificial intelligence, while providing solutions for regional network development challenges. Its IPv6 & 5G Working Group focuses on promoting the deployment, evolution, and innovative application of IPv6 technology in 5G and next-generation networks, serving as a vital platform for regional exchange and collaboration in this field.During the APAN60 "IPv6 & 5G Working Group" meeting, Director Li Kun made a keynote speech titled "IPv6+ Open Standards." He elaborated on the evolving demands for networks—specifically increased flatness, intelligence, sustainability, and security—driven by trends like AI during the next-generation network evolution. To meet the complex network construction requirements of the "four interconnected scenarios" (connecting to computing, connecting to intelligence, connecting to data, and connecting to communication satellites) in next-generation networks, NIDA, as an international industrial organization for network construction standards, focuses on researching and releasing standards based on open technologies like IPv6 enhance. It is actively contributing to building more efficient, intelligent, and reliable next-generation network infrastructure. As a key outcome of the conference, Director Li Kun and Dr. NAVANEETHAN C. ARJUMAN formally signed the MoU. Its contents include:· Sharing technical knowledge/documentation and best practices· Participating in conferences/events hosted by each other· Publishing co-authored articles in respective publications· Jointly promoting network technological innovation and industrial advancement This conference and signing represent NIDA's first collaborative practice with a global educational and research network organization. It marks the beginning of cooperation between NIDA and the APAN IPv6 & 5G Working Group and also establishes an important channel for NIDA to further develop its membership among global educational and research institutions. Amidst the accelerating global digital wave, the collaboration between NIDA and the APAN IPv6 & 5G Working Group will effectively integrate resources and strengths from both sides. Together, they will address the challenges of next-generation network development, laying a solid, open, and innovative network foundation for the prosperity of the global digital economy.
2025-07-29
12

The First Technical White Paper for MANs in the Artificial Intelligence Era Is Officially Released

During World AI Congress 2025, the Global Fixed Network Innovation Alliance (NIDA) successfully held the AI + Network Empowering Enterprise Digital Intelligence Innovation and Development Forum. NIDA officially released the first MAN white paper for the AI era - Metropolitan Area Network for the AI Era. The white paper, led by China Telecom and co-authored by Huawei Technologies Co., Ltd., ZTE Corporation, and several NIDA members of Zhongguancun Hyper-Connected New Infrastructure Industry Innovation Alliance, systematically describes the overall framework and technical capabilities of next-generation metro networks for the AI era for the first time. This document provides key guidance for building network infrastructure that integrates cloud and network integration and computing and network integration.In recent years, the commercial scenarios of urban AI have changed dramatically: Driven by large open-source models such as DeepSeek and Qwen, large-scale distributed inference has become the core technology for AI implementation and promotion. AI Agent services based on A2A and MCP are rapidly moving to large-scale commercial use. The popularity of lightweight large models enables smart terminals to have local computing capabilities. The computing paradigm shifts from traditional cloud computing to granular computing. In the future, collaboration between 100,000 agents and real-time token interaction with tens of billions of large models will become the norm for city-level AI services, posing new challenges to underlying network infrastructure.The traditional MAN architecture exposes significant weaknesses when supporting large-scale AI scenarios at the city level: Traditional networks cannot support E2E RDMA traffic identification and assurance, and cannot ensure efficient bearer in scenarios such as distributed training, distributed inference, and separation of training, push, and storage. The network control and management mechanism is not intelligent enough to meet the strict requirements of AI traffic for low latency and high reliability, affecting user experience. Therefore, as the proportion of AI services in cities continues to increase, the upgrade of metro network architecture and technologies becomes the key basis for intelligent cities.Based on China Telecom's computing MAN innovation concept, the white paper "Metropolitan Network for the Artificial Intelligence Era" systematically analyzes new scenarios, architectures, and technologies of MANs for the AI era, and is dedicated to building AI-native MANs. Network technologies, such as integrated computing and network, accurate RDMA traffic assurance in all domains, and L4 network autonomous driving, are used to meet urban AI application scenarios where distributed inference, large-scale AI agents coexist, and massive concurrent tokens are deployed. Independent decision-making and intelligent optimization enable efficient support for AItoH, AItoB, and AItoC scenarios, covering the entire AI life cycle from edge nodes to the central cloud, and promoting the generational transition of metro networks from passive bearing to proactive intelligence.This white paper is the first guidance document of the NIDA Alliance for the AI era of urban network infrastructure. Metro networks have officially become a key pillar of the native AI ecosystem, evolving from "connected pipes" to "intelligent nerve centers". This lays a foundation for the explosion of urban AI application scenarios, such as large model training, enterprise inference service, intelligent assisted driving, and personal intelligence.Scan the code to download the white paper "Metropolitan Area Network for the Al Era"
2025-07-29
52

NIDA Self-Intelligent Network Workgroup Releases the First L4 Network Construction Standard for the Education Industry

[Shanghai, China, July 27, 2025] During the 2025 World Conference on Artificial Intelligence (WAIC), The Global Fixed Network Innovation Alliance (NIDA) has launched a collaboration between the Self-Intelligent Network Working Group and 12 universities, including China Research Institute of Information and Communication, Huawei, Shandong University, China University of Mining and Technology, Shanghai University of Science and Technology, Wenzhou Medical University, and Jiangsu Institute for Future Network Innovation. The Beijing Research Institute of China Telecom Co., Ltd. and the Research Institute of China United Network Communications Co., Ltd. jointly developed the world's first self-intelligent network construction standard for the education industry in the enterprise domain. The Technical Requirements for Agent-Based Campus Network L4 O&M (hereinafter referred to as "Standard") provides a set of forward-looking and feasible technical guidance for the construction and testing of the campus network L4 O&M system.With the rapid increase in the number of network devices and terminals on campus, the service requirements are becoming more and more complex, and teachers and students have higher and higher requirements on network service quality. However, in an existing O&M mode, managing and troubleshooting thousands of devices is time-consuming and labor-intensive, which severely affects user experience and increases the customer complaint rate. Fortunately, with the in-depth integration of AI and network technologies, we have a new opportunity to carry out research on closed-loop management of enterprise self-intelligent networks and promote intelligent enterprise network O&M systems.Based on the high-value scenario planning for L4 evolution of the self-intelligent network in the carrier domain and the practice experience of campus network O&M, the standard defines the L1 to L5 levels of the self-intelligent network O&M capability to improve O&M efficiency and dynamically optimize network performance to ensure user experience. Based on smart campus O M requirements and campus network O M experience, Wi-Fi network optimization and monitoring and troubleshooting are selected as high-value scenarios for campus network O M, and the target architecture for smart network implementation is defined. Define technical requirements based on intent understanding, environment awareness, data analysis, policy decision-making, and solution execution of the O&M management system to build a network AI brain model.The Technical Requirements for Agent-Based Campus Network L4 O&M points out the evolution direction and implementation path for campus network intelligence. The key technologies are network digital twin, large network model, and small algorithm model, to build a task-level self-intelligence closed-loop system for campus network agents. It will accelerate the intelligent network O&M of colleges and universities across the country to the new era of L4 self-intelligent networks.
2025-07-28
26
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NIDA Campus Network Working Group 2025H1 Midyear Meeting Successfully Held

On June 26, 2025, in Beijing, the Network Innovation and Development Alliance Campus Network Working Group (WG04 ) 2025H1) was held in the form of offline +. China Construction Group Northeast Design and Research Institute, China Information and Communication Research Institute, China Survey and Design Association Intelligence Branch, Huawei Technologies Co., Ltd., ZTE Co., Ltd., Suzhou Shengke Communication Co., Ltd., China Communications Post and Telecommunications Consulting and Design Institute Co., Ltd., Xiangya Hospital, Central South University, Singapore National University (National University of Singapore ), Beijing Union Medical College and other 19 institutions attended the meeting. On the one-year anniversary of the founding of NIDA, delegates reviewed the achievements of the Alliance over the past year, discussed new Internet network construction standards and industry applications, and considered important topics such as the establishment of a technical white paper.At the beginning of the meeting, Guo Xiaoyan, Chairman of the Campus Network Workgroup, delivered a speech: "I would like to acknowledge and thank the members of the campus network work team for their hard work, acknowledge the achievements of the campus network work team in the past year, and encourage the members of the campus network work team to meet the challenges of intelligent evolution of campus networks." In terms of international influence, Guo Xiaoyan pointed out that "the alliance needs to break through domestic limitations and attract global partners. It can continue to expand its international influence through specific activities. The campus network work team will certainly achieve better results."One of the key agendas of this meeting: Work summary of the alliance and campus network work team in 2025 H1 and report on the alliance planning. Miao Fu, Vice Chairman of the Campus Network Working Group, reviewed the industry background, organizational positioning, mission, vision, and organizational structure of NIDA, and introduced the achievements of the Alliance in terms of network construction standards, membership development, and internationalization in the first half of 2025. Then, the business plan of the alliance in terms of industry domains, organizational structure, and marketing activities was reported.Five new members, including chip R&D, healthcare, and education, joined the working group meeting. Their participation further enriched the alliance industry ecosystem and enhanced the alliance industry influence.Another important agenda and core outcome of the meeting is: The meeting reviewed and approved the project initiation plan of the High-Quality 10GE AI Campus Technical White Paper. The white paper will focus on the trend, architecture, and quantitative standards of AI-enabled campus networks. The Chinese and English versions will be released later. The white paper will include cases in typical scenarios such as health care and education, and all members of the working group will be invited to participate in the preparation.Finally, Guo Xiaoyan, Chairman of NIDA's Campus Network Working Group, said in his concluding remarks that the : " Campus Networking Working Group had made important breakthroughs in standard development and global cooperation in the past year. In the future, we will focus on key fields such as healthcare and finance, and drive the implementation of standards through innovative technologies such as AI. We thank all members for their contributions and look forward to working with global partners to jointly promote the construction of the new Internet. "On the occasion of the first anniversary of the founding of NIDA, we invite more organizations and units to join NIDA and create the future together!

The Second Meeting of NIDA Network Evolution Working Group in 2025 Successfully Held in Beijing

On August 8, 2025, the NIDA Network Evolution Working Group's Second 2025 Working Group Meeting was held online and offline in Beijing. Twenty-eight representatives from China Information and Communications Research Institute, China Mobile Communications Group Co., Ltd., Beijing Research Institute of China Telecom Co., Ltd., Research Institute of China United Network Communications Co., Ltd., Jiangsu Future Network Research Institute, Huawei Technologies Co., Ltd., and ZTE Co., Ltd. attended the conference. The meeting focused on reviewing the revised version of the Next Generation Network for 5.5G Era(NET5.5G) Deployment Guideline, and approved the AI Agent Communication Gateway Technical Research Report. At the same time, the recent work progress and annual work plan of the NIDA Alliance were introduced to members of the working group.The meeting began with an introduction to the Alliance's work progress and annual work plan. The Alliance actively deployed BRICS and Belt and Road countries in international cooperation this year, and achieved remarkable results. More than half of the standard development plan is achieved. In addition, the Healthcare Industry Committee has been set up, and the Finance and Education Industry Committees are also in preparation. The Alliance will focus on industry scenario requirement analysis and standard development, and promote standard adoption and implementation through industry influence.In the standard review phase, the review of the revised version of Next Generation Network for 5.5G Era(NET5.5G) Deployment Guideline becomes one of the core topics of this meeting. The Next Generation Network for 5.5G Era(NET5.5G) Deployment Guideline aims to provide technical paths and deployment suggestions for global carriers and equipment vendors to evolve from traditional networks to next-generation networks. After a heated discussion, experts at the meeting provided good review comments and suggestions, such as further strengthening the scenario-based deployment solution, providing scenario descriptions and key requirements for each typical scenario, and providing deployment guides to better guide actual operations. The standard is initially scheduled to be released in November and will be rolled out globally to facilitate large-scale deployment of next-generation networks.In the project initiation review phase of the AI Agent Communication Gateway Technical Research Report, the project initiation is passed. In the reporting phase of the research report, experts put forward good suggestions on the function positioning and application scope of the gateway. Experts at the meeting agreed that AI Agent communication protocols are diversified, and different vendors work their own ways. The definition of gateway service object should be clarified, the research on communication layer should be focused, the establishment of global agent gateway network should be supported, and the technical details should be solved gradually by serialization.This conference systematically reviewed the key technical requirements for next-generation network deployment and deeply discussed the innovative application scenarios of AI communication gateway technology, which pointed out the direction for the next phase of key work and laid a foundation for promoting next-generation network deployment and AI communication gateway technology research.The participants said they would continue to deepen cooperation and jointly promote the development and standardization of next-generation network technologies.

Embracing AI,Unlock New Future of Enterprise Autonomous Networks

[China, Shanghai, July 27, 2025] During the 2025 World Artificial Intelligence Conference, the AI+ Network Enterprise Digital Intelligence Innovation Development Forum, hosted by the Network Innovation and Development Alliance (NIDA), was successfully held in Shanghai. Experts and scholars from organizations including the Internet Society (ISOC), China Communications Standards Association (CCSA), the Internet Engineering Task Force (IETF), and the China Academy of Information and Communications Technology (CAICT), along with representatives from innovative enterprises, gathered to focus on key issues such as how to apply Agentic AI technology to enterprise ICT infrastructure and how to inject new momentum into enterprise digital intelligence upgrades through AI technological innovation. Participants shared cutting-edge technologies and application practices, engaging in multi-dimensional exchanges to help industries achieve leapfrog development through AI.At present, artificial intelligence technologies represented by large models and intelligent agents are profoundly reshaping production and life. Ao Li, the Chief Engineer of CAICT, said: "The core of AI-network integration is building an integrated 'Cloud, Network, Intelligence, Computing' service system. This is not only an inevitable trend in technological innovation but will also reshape innovation paradigms and development models across industries, becoming the core engine driving industrial transformation."Deng Yiou, Secretary-General of NIDA, mentioned that autonomous network is the cornerstone of next-generation networks. Through the mutual empowerment of AI and networks, the gap between underlying network infrastructure and upper-level business applications can be bridged, promoting the upgrade of enterprise digitalization to intelligent unified platforms. Ted Hardie, Member of NIDA Strategic Advisory Committee and Chairman of ISOC , provided profound insights on evaluating the value of AI in network evolution. By drawing parallels between radium and railways—two transformative technologies with fundamentally different outcomes—he identified the key to leveraging AI for creating an "Industrial Revolution"-scale transformation in networking: "Interoperability fosters innovation, serving as the critical requirement for turning technological marvels into industrial revolutions."Nan Xinsheng, Deputy Secretary-General of CCSA, stated in his keynote address that autonomous networks represent the inevitable convergence of artificial intelligence and network lifecycle management. The deep integration of AI Agent technology—epitomized by network agents—has empowered autonomous networks to achieve L4-level advancements in high-value scenarios. In telecommunications operators' practical implementations, this integration has significantly enhanced operational efficiency and service quality.Nan emphasized: "By defining the vision and architecture of autonomous networks, establishing tiered construction requirements and standards for high-value scenarios, and implementing phased rollouts focused on tangible outcomes—while simultaneously enabling industry-wide collaboration in capability assessments and innovative practices—we collectively propel the flourishing development of the autonomous network industry. These proven methodologies offer invaluable guidance for enterprise autonomous network deployment."Wu Qin, Huawei Data Communication Network Architect and IETF IAB Member, stated in his keynote address "Network AI Agent Architecture Standard Evolution": "The three core intelligent agents—Fault Agent, Change Agent, and Optimization Agent—collectively form intelligent network operations, accelerating the iterative evolution of autonomous networks toward L4-level capabilities."The continuous advancement of AI technology is driving all industries toward comprehensive intelligence, with industry organizations, enterprises, and stakeholders actively committed to creating value through AI applications. At this forum, multiple achievements were released including industry blueprint white papers and technical standards. The publication "Metropolitan Area Network for the AI Era" significantly enhances enterprise AI training efficiency through intelligent traffic identification, elastic traffic scheduling, and RDMA lossless technology.The white paper "Agentic Enterprise ICT-Infrastructure O&M Blueprint" analyzes the evolutionary trajectory of enterprise operations toward digital and intelligent transformation. It introduces AEI (Agentic Enterprise ICT-Infrastructure), defining its conceptual framework, strategic vision, and core characteristics for agentic operations management of next-generation ICT infrastructure. Furthermore, it presents two high-value implementation scenarios with reference architectures:Enterprise Data Center Operations and Smart Campus Operations delineated according to AEI's evolutionary phases and critical enabling technologies.The "High-Quality 10G AI Campus Network Construction Technical White Paper" proposes a three-layer architecture for AI campus networks, encompassing six dimensions for network quality assessment, from A to F. It also provides recommended network architectures and metrics based on industry and scenarios.NIDA collaborates with Industry-Academia-Research-Application Partners to release "AI Agent-based Campus Network L4 Operation and Maintenance Technical Requirements", establishing an AI Agent and Network Digital Twin converged architecture for campus networks, advancing AI-driven network operations toward high-level autonomy.During the presentation session, Carsten Rossenhoevel, Co-founder and CTO of the European Advanced Networking Test Center (EANTC), shared practical insights on Level 4 autonomous network grading assessments. He stated: "EANTC has collaborated with industry partners to standardize the foundation capability grading framework for autonomous networks, driving networks toward higher-level autonomy to deliver more efficient and stable connectivity experiences for users."Shi Dewei, Deputy Director of the Information Center at ShanghaiTech University, shared how the university collaborated with Huawei to deploy Network Digital Map and Network AI Agent solutions. This initiative facilitates campus automation and intelligent upgrades, enhancing user experience on the campus network while addressing challenges arising from the transition from traditional teaching to AI-assisted interactive instruction. The deployment advances the network's evolution from Level 3 to Level 4 autonomous capabilities.Jiang Yuqi, Director of the Network Business Unit at CPIC Group's Cloud Service Division, shared how Pacific Insurance collaborated with Huawei to develop an industry-leading "Digital workforce" leveraging AI large model technology. This innovation breaks through human efficiency and capability limitations, enabling a more rational cost structure and superior customer experience.Yang Lan, Network Specialist at Lijiang People's Hospital, presented AI applications including: AI-assisted clinical diagnosis, Pathology data analysis with AI support, AI-powered patient triage. She also outlined future hospital network upgrades covering bandwidth, wireless, security, and O&M domains, along with concepts for remote pathology diagnosis. The hospital contributed to the *High-Quality 10Gbps AI Campus Networking Technology White Paper* and will reference it for future network transformation.In the intelligent era, how to achieve two-way integration of AI and networks has become an important topic of industry concern. In the pannel discussion session, NIDA, together with the China Academy of Information and Communications Technology, Huawei, and enterprise representatives, discussed and shared their practical experience and insights on AI and networks, providing direction and practical reference for AI technology to help industry digital intelligence.At the forum, NIDA and the China Academy of Information and Communications Technology (CAICT), alongside industry pioneers such as Huawei, jointly launched the "AI Agents Accelerating AN L4: Enterprise Digital-Intelligent Innovation Pioneer Initiative". This initiative calls upon all industries to advance comprehensive intelligence across sectors through continuously evolving autonomous networks.Suzhou Intelligent Connected Technology Development Co., Ltd. (a subsidiary of Suzhou Industrial Park XinJianyuan Group), the Global Fixed Network Innovation and Development Alliance (NIDA), and the Zhongguancun Super-interconnected New Infrastructure Industry Innovation Alliance have jointly signed Next-Generation Network AN L4 City Pioneer MOU Agreement.Based on the principles of equality, voluntariness, complementary advantages, and mutual benefit, the three parties will establish a long-term, stable, and close strategic partnership. Together, they aim to:· Build an industrial cooperation platform for Next-Generation Network innovation and development;· Actively explore innovations in Next-Generation Network technologies and standards, focusing on user scenarios;· Vigorously promote the implementation of industry alliance standards in the Suzhou Industrial Park, creating a world-leading and model-innovative exemplary plan for the Next-Generation Network Pioneer City Construction Action Plan.This forum not only summarized the research, innovative applications, and development achievements of AI agent technology but also represented the industry's profound reflection on how autonomous networks will drive future development directions, injecting new momentum into the development of AI and autonomous networks.
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Email: contact@nida-alliance.org
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