国务院国资委最新披露信息显示，截至目前，国资央企已经组建了4个行业数据产业共同体。 继11月底国家数据局组织12家央企牵头开展首批国有企业数据资源开发利用试点工作后，近期国务院国 资委印发《关于开展国资央企领域可信数据空间系统建设试点工作的通知》，14家央企牵头首批国资央 企领域可信数据空间建设试点。 央国企作为数据要素市场化配置改革的"排头兵"，正以试点先行、场景赋能、技术筑基的多元路径，推 动数据要素价值化从政策构想迈向实践突破，破题成效初显，起势态势明朗。接受证券时报记者采访的 专家认为，推动产业行业数据要素价值更好实现，仍需从政策支持、能力建设、生态完善三方面持续发 力，破解合规、成本与收益等三重挑战。 央国企带头打破 产业行业"数据墙" 2024年12月，《关于促进企业数据资源开发利用的意见》印发，为企业数据的开放流通提供了制度指 引。此后，多个部门分别牵头数据资产全过程管理、国有企业数据资源开发利用、可信数据空间创新发 展等多个专项试点，在这些试点中均能看到央国企身影。 "由央国企带头释放数据资源价值，既是其发展的需要，也是履行社会责任的体现。" 原海南省大数据 管理局局长董学耕对证券时报记者表示 ...

2025年，数据要素市场化改革步入"深水区"。政策持续发力，技术加速迭代，企业如何抓住数据要素带来的战略红利，将海量数据真正转化为驱动增长的 核心资产？ 由大数据技术标准推进委员会（CCSA TC601）组织百家领先企业和权威专家共同编制的《数据资产管理实践指南（8.0版）》正式发布！作 为连续九年迭代的行业"风向标"，今年的8.0版首次系统描绘了从 "数据资源化"到"数据资产化"再到"数据资本化" 的完整价值跃迁路径，是各行各业管理 者、数据从业者把握未来方向的必备工具书。 一、核心升级：首次清晰勾勒数据价值化"三级跳" 过去，我们谈数据治理，多聚焦于质量、安全和内部应用。8.0版指南明确指出，数据资产管理已发生范式跃迁： 资源化（打好地基）：解决数据"有没有、好不好、安不安全"的问题，是价值释放的前提。指南详解八大管理职能（模型、标准、质量、安全等）的内在 联系与智能化演进。 资产化（实现价值）：核心是让数据的价值"看得见、摸得着、可计量"。指南系统阐释了数据资产登记、确权、估值、成本核算、入表、内外部流通六大 核心管理活动，直击企业最关心的"如何入表"、"如何定价"、"如何交易"等实操难题。 资本化（放 ...

"人工智能+"行动作为"十五五"规划重要战略，日照市委、市政府高度重视并积极推进"人工智能+"行 动，推动新一代信息技术、新能源、低空经济等新兴和未来产业加速崛起，为我们企业发展创造了优良 环境。作为扎根日照、服务日照、纳税在日照的央企，日照移动始终紧跟在市委、市政府步伐，深入践 行"人工智能+"行动，依托中国移动（600941）九天人工智能公司以及齐鲁创新院，强化"数智算"核心 能力，从算力底座到创新应用，从政务服务到产业升级全链条发力。 在"人工智能+政务"场景，山东移动成立省数字政府工作专班，助力谋划建设"1751"数字政府运行工作 体系，积极推进人工智能+数字政务应用，落地全国首个市政统建政务大模型基座(青岛大数据局政务大 模型)，目前已推动青岛各级各部门83个政务大模型应用上线，赋能城市治理、民生服务、基层治理等 领域，打造全国领先的数字政府标杆工程。借助这一成熟实践经验，日照移动可为本地政府搭建日照政 务大模型底座并提供先行先用服务，通过构建"政务大模型支撑底座+N个应用智能体"，形成覆盖"数据- 算力-模型-应用"的全流程支撑能力，助力日照探索政务大模型集约化建设模式，避免各级各部门分散 建设、 ...

新一轮国资国企改革，因数据的注入而增添了新内涵。数据要 素"国家队"的进场，不仅在于挖掘自身金矿，更要以数据流通 穿 透 产 业 链 壁 垒 。 随 着 试 点 发 令 枪 响 ， 一 场 以 数 据 为 牵 引 的"新勘探"在能源电力、交通物流、装备制造等多个重点行业 同步掀起。 作者：王雅洁 封图：本报资料室 临近2025年岁末，国家石油天然气管网集团有限公司（下称"国家管网"）内部，一系列围绕数据 的会议密集召开。会议的焦点，从传统的管道压力、输气量，转向了如何将国家管网运营五年来积 累的超过100亿条核心数据，更安全、更高效地"用起来"，乃至"交易出去"。 这些会议，是为可能即将签署的数据合作开发协议铺路。国家管网运营的全国"油气一张网"，不 仅是物理的能源动脉，也是汇集了生产、运输、交易、设备状态等海量信息的"数据一张网"。当 下的任务，是思考如何让这些"硬设施"里的数据实现"软联通"，以打破市场壁垒，激活产业链。 行动的紧迫感，源于一项顶层设计的落地。2025年11月25日，国家数据局与国务院国资委联合启 动"国有企业数据资源开发利用试点工作"。试点工作明确了国家管网、中国移动、国机集团、中 国汽 ...

临近2025年岁末，国家石油天然气管网集团有限公司（下称"国家管网"）内部，一系列围绕数据的会议密集召开。会议的焦点，从传统的管道压力、输气 量，转向了如何将国家管网运营五年来积累的超过100亿条核心数据，更安全、更高效地"用起来"，乃至"交易出去"。 经济观察报记者 王雅洁 这些会议，是为可能即将签署的数据合作开发协议铺路。国家管网运营的全国"油气一张网"，不仅是物理的能源动脉，也是汇集了生产、运输、交易、设备 状态等海量信息的"数据一张网"。当下的任务，是思考如何让这些"硬设施"里的数据实现"软联通"，以打破市场壁垒，激活产业链。 行动的紧迫感，源于一项顶层设计的落地。2025年11月25日，国家数据局与国务院国资委联合启动"国有企业数据资源开发利用试点工作"。试点工作明确了 国家管网、中国移动、国机集团、中国汽车技术研究中心、中国南方电网等12家中央企业作为首批试点牵头单位，要求它们联合民营企业、科研院所等组 建"合作阵营"，共同探索数据从资源到资产再到资本的跃迁路径。 在国家数据局副局长陈荣辉的表述中，这并非普通的信息化升级，而是"国有企业数据效能提升行动"与新一轮国企改革深化提升行动的"有机结合"， ...

Core Insights - The National Bureau of Statistics of China is implementing a data efficiency enhancement initiative for state-owned enterprises, with 12 central enterprises as pilot leaders, aiming to improve data governance and resource utilization by 2027, benefiting over 100,000 SMEs [1][2] Group 1: Data Utilization and Management - State-owned enterprises are identified as key players in the development and utilization of data resources, with a focus on enhancing core competitiveness and promoting collaborative innovation in the industrial chain [1][2] - The initiative includes 10 key tasks centered around innovating data management mechanisms, fostering the data industry, enabling industrial transformation, and optimizing the innovation environment [2] Group 2: Collaboration and Innovation - The initiative encourages collaboration among state-owned enterprises and their partners across various sectors, including energy, transportation, and agriculture, to create a trusted data space and promote data sharing and innovation [2] - The National Oil and Gas Pipeline Group has created a comprehensive data network, aggregating over 10 billion core data entries, significantly improving data quality and operational efficiency in the natural gas supply chain [3] Group 3: Technological Integration - China Southern Power Grid has established a trusted data space that integrates advanced technologies like blockchain and privacy computing, enhancing data flow and collaboration among over 370 ecosystem partners [4] - China Machinery Industry Group has developed an "Agricultural Machinery Cloud" that connects the entire lifecycle of agricultural machinery, processing over 10 billion data entries daily [5] Group 4: Data-Driven Applications - China Mobile has created a big data platform that processes over 2000PB of core data, improving customer service and operational efficiency across various scenarios [6] - The China Automotive Technology and Research Center is focusing on carbon footprint accounting and data interoperability across the automotive supply chain, enhancing international rule recognition [6] Group 5: Future Directions - The initiative emphasizes the importance of enterprises taking the lead in data utilization, fostering multi-party collaboration, and integrating diverse data sources to drive industrial transformation and improve public welfare [6]

Core Viewpoint - The event highlighted the rapid integration of artificial intelligence into various sectors, creating new opportunities for the data industry while also addressing existing challenges such as data silos and high governance costs [3][4]. Group 1: Infrastructure Development - China Mobile has established the world's largest network infrastructure with over 2.59 million 5G base stations and has launched the first large-scale commercial 5G-A network, providing gigabit broadband to 500 million households [4]. - The company is investing in computing power infrastructure, achieving a computing scale of 61 EFLOPS and establishing national computing power hub nodes [4]. - The "Wutong Big Data Platform" has been developed to efficiently process massive data, with core data assets exceeding 2000 PB and training data for large models surpassing 10 trillion tokens [4]. Group 2: Data Resource Supply - China Mobile is creating a big data ecosystem platform, offering a "central kitchen" for data processing, compliance, and product development to partner enterprises [5]. - The company is leveraging its technological advantages to assist state-owned enterprises like CNOOC and China Communications Construction in overcoming data utilization challenges [5]. - Collaborative efforts are being made to build data annotation bases in Baoding and Changsha, enhancing the quality of industry data sets [5]. Group 3: Application Expansion - In the public service sector, over 500 application scenarios have been developed, utilizing vast amounts of public data for governance [6]. - The company has implemented a digital rural management platform in Guizhou, covering 17,926 administrative villages and addressing employment challenges [6]. - In emergency management, a real-time disaster response system has been established, providing over 2,100 reports and assisting more than 100 million disaster-affected individuals [6]. Group 4: Collaborative Development - The company emphasizes the need for a collaborative approach to advance the data industry, focusing on enhancing information infrastructure and expanding quality data resource supply [7]. - A "Ten-Hundred-Thousand" partnership plan is proposed to explore data application scenarios and facilitate the flow of data elements [7]. - The goal is to contribute significantly to the construction of a digital China and promote high-quality economic and social development [7].

Core Viewpoint - The speech by Yang Jie at the 2025 China International Big Data Industry Expo emphasizes the transformative potential of data in the "AI+" era, highlighting its role in driving innovation, economic growth, and ensuring data security. Group 1: Data's Role in AI Innovation - Data scale and quality are becoming the "power source" for accelerating AI innovation, with new data sources driving AI applications from "usable" to "well-used" [3] - The integration of data serves as a "catalyst" for new economic forms, enabling businesses to optimize services and meet diverse consumer needs, thus unlocking new growth avenues [3] Group 2: Data Security and Governance - Data security and trustworthiness are essential for building a smart society, necessitating a comprehensive data security governance system to balance data development and safety [3] - The company is committed to enhancing data supply, flow, and utilization while ensuring security, thereby maximizing the multiplier effect of data elements [4] Group 3: Company Initiatives and Innovations - The company is developing a high-quality data supply system, with over 2000PB of high-value data and a data analysis capability that processes over 100 billion instances annually [4] - The launch of the first industry data circulation infrastructure, the Data Sharing Network (DSSN), facilitates cross-industry and cross-region data connectivity, supporting over 100 million transactions monthly [4] - The company is enhancing data utilization across various sectors, including tourism and finance, with significant usage metrics, such as serving over 170 financial clients with more than 1.5 billion annual transactions [5] Group 4: Regional Development and Collaboration - Guizhou is positioned as a national innovation zone for digital economy development, with the company actively participating in key infrastructure projects to strengthen the region's digital economy [6] - The company aims to collaborate with various sectors to promote data aggregation, explore new pathways for data assetization, and establish a robust data governance framework [6]

CHINA MOBILE LIMITED 中國移動有限公司 （根據公司條例在香港註冊成立之有限公司） 股份代號：941（港幣櫃台）及 80941（人民幣櫃台） 海外監管公告 2025年半年度報告 本公告乃中國移動有限公司（「本公司」）根 據《香 港 聯 合 交 易 所 有 限 公 司 證 券 上 市 規 則》第13.10B條 而 作 出。 茲提述本公司在上海證券交易所網站刊登的《中 國 移 動 有 限 公 司2025年半年度 報 告》，僅 供 參 考。 香港交易及結算所有限公司及香港聯合交易所有限公司對本公告之內容概不 負 責，對 其 準 確 性 或 完 整 性 亦 不 發 表 任 何 聲 明，並 明 確 表 示 概 不 就 因 本 公 告 全 部或任何部分內容而產生或因倚賴該等內容而引致之任何損失承擔任何責任。 承董事會命 中國移動有限公司 楊 杰 董事長 香 港，2025年8月7日 前瞻性陳述 本 公 告 中 所 包 含 的 前 瞻 性 陳 述 不 構 成 亦 不 應 視 為 本 公 司 作 出 的 承 諾。這 些 前 瞻 性 陳 述 涉 及 已 知 和 未 知 的 風 險、不 確 定 性 以 及 其 他 ...

Core Viewpoint - The event held by the Shandong Provincial Government focuses on the strength of Shandong's artificial intelligence products and discusses new opportunities for industrial development in the intelligent era [1] Group 1: Role of the Innovation Institute - The China Mobile Qilu Innovation Institute acts as a "central kitchen" in the Shandong AI industry chain, providing comprehensive services for the upgrade of the intelligent industry [6] - The institute has established a "2+2+X" intelligent computing resource network, achieving a computing scale exceeding 1000P and gathering over 2000PB of data through the Wutong big data platform [7] Group 2: Development of Benchmark Applications - The institute collaborates with local leading enterprises to create 26 benchmark cases, including the "Guanhai" marine science intelligent computing platform, demonstrating its capability in promoting original technology breakthroughs and results transformation [8] Group 3: Empowering Various Industries - The "Qilu Zhijun" platform, certified by the China Academy of Information and Communications Technology, supports end-to-end large model solutions and has been implemented in nearly 100 industry applications [9] - The lightweight product "Qilu Smart Cloud Eye," which integrates over 110 AI algorithms and visual models, has served more than 5200 clients across the province [9] Group 4: Achievements and Future Plans - Within a year, the innovation institute has made significant progress, including enhancing domestic chip performance and planning the first provincial-wide data network in the country [10] - The institute aims to continue promoting collaborative innovation and enriching AI products and applications, contributing to the high-quality development of the AI industry in Shandong [10]