AI智能总结
Objective:to explore ways in which communications serviceproviders (CSPs) can enhance service-centric operationstransformation, accelerated through the use of AI, and byidentifying new value metrics and measurement methodologies. SPONSORED BY: CONTRIBUTING INDIVIDUALS Syakil Bin Shahabudin Cheng Lu, Ding Dong, Lin Chongyun, Wang Chen, Jin Dongsheng, Zheng Yifeng, Peng Chenfa,An Jiujiang, Yang Chuan, Huang Jie, Xu Ming, Kong Huaming Wang Yu, Zhou Ying, Zhu Hong, Fan Yanlin Tom Pang, Kam Shing Fung, Otto Lau Emmanuel Chautard, Olivier Simon, Aroussia Maadi, Tristan Trepat-Marti, Gabriel Junghiatu,Asser el Nahas, Alexis Koalla, Linda Chong Chauvot Ye Rongchun (Kevin Ye), Yang Shengdong, Ouyang Yongjian (Henry Au Yeung), Wang Hailong,Luo Tianhong (Ken Luo), Jin Kaixu, Yu Yefu, Lan Yu, Gao Peng, Liang Yongyun, Mao Shijie, Charlene Wong,Goh Khiang Chew, Ahmed Omer Abdelnour Suliman, Weng Zaixin, Wei Yuzhuo, Deng Dan, Marc Bikok,Chenzhicheng, Jiaodongfeng Richard Webb, Senior AnalystTeresa Cottam, Contributing Analyst (Omnisperience) CONTRIBUTING COMPANIES contents Executive summary Section 1 Industry landscape: service-centric operations7 1.1 From whitepaper 1.0 to 2.0:charting the network-centric to service-centric journey71.1.1 Autonomous networks and autonomous operations71.1.2 AN and AO maturity models81.2 Industry trends driving operations transformation91.2.1 Market challenges and opportunities91.2.2 AI for transformation acceleration111.2.3 The importance of data131.2.4 Using digital twins to evolve network and service monitoring141.3 Architectures, tools and benchmarking141.3.1 Frameworks for transformation141.3.2 Importance of measuring operations value15 Section 2 Defining new values and metrics for service-centric operations16 2.1 Operational transformation challenges and success factors162.2 Evaluate, Operate and Transfer (E.O.T.) for service-centric operations182.2.1 Procedures and activities182.2.2 Fundamental changes in the E.O.T. journey192.3 Using TM Forum assets to measure business objectivesand service effectiveness192.3.1 Defining MAMA framework to guide capital resourceallocation and development192.3.2 AOMM provides guidance to transformation journey192.3.3 Value Operations Framework (VOF) three-layermodel and value tree concept202.3.4 From silo SLAs to value measurement212.4 Value perception of new value metrics for service-centric operations222.4.1 The landscape of services and value metrics222.4.2 Value metrics dictionary232.4.3 Business objectives categorized into revenue and satisfaction242.4.4 Value metrics of data mobile service242.4.5 Value metrics of home broadband service242.4.6 Value metrics of private line enterprise service252.5 Detailed value measurement formulae252.5.1 Business values for service centric operation (R.I.S.E. objectives)252.5.2 KPIs for monitoring and handling anomaly events + data service252.5.3 KPIs for monitoring and handling anomaly events + homebroadband service262.5.4 KPIs for monitoring and handling anomaly events + private line service26 contents 3.1 Suggested transformation framework273.2 Recap of whitepaper 1.0: key characteristics of service-centric operations273.2.1 Digital enablement platforms and approaches – key requirements273.2.2 Technology evolution to overcome operational challenges283.2.3 From ‘as-is’ present method of operations to future method of operations293.3 Key evolutions since whitepaper 1.0: new value,new technology, new applications303.3.1 CSPs are missing key operations capabilities303.3.2 New value323.3.3 New technology323.3.4 New applications323.4 Utilizing Huawei assets: new platform, new technology (GenAI, DTN, EDNS)323.4.1 The ‘to-be’ digital enablement platform and new progress323.4.2 Network-centric operations to service-centric operationsrequire introduction of 3 new core technological features333.4.3 The connection between the six dimensions model and3 core technological features343.4.4 Detailed discussion on 3 core technological features: DTN, GenAI, EDNS353.5 Latest developments: new applications enabled by new technologies413.5.1 ‘To the consumer’ (ToC) service assurance: adding agile servicerestoration to incident management to maximize service loss reduction413.5.2 ‘To the home’ (ToH) service assurance: Make FTTx service & networkvisible and manageable, and one fault one trouble ticket423.5.3 ‘To the business’ service assurance: service-level qualityvisualization and proactive assurance for enterprise-grade connectivity services433.5.4 Role-based front office and field maintenance engineer copilot443.6 NOC-SOC transformation as related to people and organization463.6.1 NOC & SOC operation target model463.6.2 Best practices for achieving NOC-SOC collaboration473.6.3 People: roles and responsibility changes47 Orange49China Unicom55HKT60China Mobile64XL Axiata68IOH72AIS77Jazz80 Executive summary Communications service providers (CSPs) are having to deal with massive increases innetwork and service co