数字经济浪潮席卷全球，推动零售乃至各行各业供应链深度重塑。随着跨境电商蓬勃发展与全球消费市 场融合，构建一套敏捷、合规且智能的全球化供应链体系，已成为企业突破增长瓶颈、赢得国际竞争的 关键所在。 12月19日在成都举办的华为云零售峰会2025"企业数智化供应链建设主题论坛"上，金蝶国际业务支持部 业务架构师韩勇分享了金蝶携手华为云，赋能中国企业供应链出海的前沿实践。双方通过云端一体化技 术底座与全球化部署能力的深度融合，正为零售乃至更广泛的企业提供一条可落地、可复制的全球化智 能管理升级路径。 洞察出海之痛：多维挑战构成复杂矩阵 作为全球领先的企业管理云SaaS公司，金蝶凭借多年深厚经验，精准勾勒出中国企业在出海征程中面临 的共性挑战矩阵，这些挑战贯穿于市场进入与运营的全过程： 1.合规与监管复杂：各国在原材料、标签、认证及数据跨境等方面的合规要求复杂多变，违规风险高。 2.跨境物流成本与敏捷性失衡：跨境物流拉长供应链链路，导致成本升高同时敏捷性下降。 3.新兴市场物流基础设施薄弱：新兴市场物流基础设施不完善，影响履约与逆向物流体验。 4.本地化经营与竞争挑战：产品规格、功能与本地化需求的错位，以及来自本土品 ...

人工智能正以前所未有的速度重塑全球经济。在这场变革的核心，发展的驱动力正从"数据驱动"转 向"Token驱动"。城市如何应对这一挑战？ 12月16日，"引领智能升级 共建美好AI CITY"华为云城市峰会2025·乌兰察布隆重举行。峰会汇聚行业 专家、企业领袖、生态伙伴，与会各方聚焦城市从"能源输出地"向"AI生产力输出地"转型的关键路径， 共同探讨以AI技术加速"Token之都"建设，为"草原云谷"的数字经济发展注入全新动能。 内蒙古自治区政务服务与数据管理局副局长刘钧毅在致辞中指出，乌兰察布是自治区数字经济发展的重 要增长极，本次峰会是推动城市智能化转型、发展新质生产力的重要实践。他提出四点希望：一是共 筑"AI CITY"新基座，提升数字治理能级；二是共拓"数实融合"新空间，赋能产业智能升级；三是共 育"数字人才"新生态，夯实长远发展根基；四是共创"协同发展"新格局，凝聚各方合作合力，共同谱写 内蒙古数字经济高质量发展新篇章。 内蒙古自治区政务服务与数据管理局副局长 刘钧毅 乌兰察布市人民政府副市长柴悦发表致辞，他表示乌兰察布紧抓"东数西算""京蒙协作"等战略机遇，将 算力产业作为数字经济"头号工程"持 ...

12月16日，"引领智能升级共建美好AI CITY"华为云城市峰会2025在内蒙古自治区乌兰察布市举行。与 会各方聚焦城市从"能源输出地"向"AI生产力输出地"转型的关键路径，共同探讨以AI技术加速乌兰察 布"Token(词元)之都"建设，为"草原云谷"的数字经济发展注入全新动能。 与此同时，依托京蒙人才科创园和北疆算力研究院，强化与华为等落地企业的产业研究，通过设立实验 室、开展技术合作创新等形式，深度整合各方在算力基础设施、人工智能算法、大数据分析等领域的优 势资源，构建"政产学研用"协同创新生态。 内蒙古自治区政务服务与数据管理局副局长刘钧毅在致辞中介绍，近年来，内蒙古牢牢把握"东数西 算"战略机遇，大力推动全国一体化算力网络内蒙古枢纽节点建设，数字基础设施体系逐步搭建，数字 经济与实体经济加速融合，以绿色算力为支撑的数字经济和人工智能产业集群蓬勃发展。乌兰察布是自 治区数字经济发展的重要增长极，近年来乌兰察布市前瞻布局，全力推动"Token之都"建设，算力规模 持续扩大，算力质效不断提升，与华为公司等龙头企业深化战略合作，在智慧城市、产业赋能、人才培 养等方面开展一系列工作，取得了阶段性成果。 刘均毅 ...

来源：环球网 内蒙古自治区政务服务与数据管理局副局长 刘钧毅 国家信息中心信息化和产业发展部主任单志广指出，AI CITY通过"大模型+知识库"重构传统信息系 统，打造"1个分布式智能底座、2个保障体系、3套AI工程平台、4类运营机制、M类数据与N类模型资 产、X个创新应用"的新型架构，构建具备自感知、自适应、自学习、自决策能力的城市智能体。 【环球网科技综合报道】12月16日，以"引领智能升级 共建美好AI CITY"为主题的华为云城市峰会2025 在内蒙古乌兰察布举行。来自政府、企业、科研机构及生态伙伴的百余位代表齐聚一堂，聚焦人工智能 驱动下的城市转型路径，共同探讨如何以"Token驱动"为核心引擎，加速建设"Token之都"，推动"草原 云谷"从传统能源输出地跃升为全国领先的AI生产力高地。 从"数据驱动"到"Token驱动" 当前，全球正经历由人工智能引发的深刻变革，城市发展驱动力正从"数据驱动"加速转向"Token驱 动"。内蒙古自治区政务服务与数据管理局副局长刘钧毅在致辞中指出，乌兰察布是自治区数字经济发 展的重要增长极，本次峰会是推动城市智能化转型、发展新质生产力的重要实践。他提出四点希望：一 ...

以下文章来源于全天候科技 ，作者全天候科技 全天候科技 . 为优质内容而生，帮助投资者理解科技。 全球AI竞赛如火如荼之际，只有具有极强战斗力的组织才能不被挤下牌桌。今年以来，作为中国头部云厂商之 一，华为云内部也在持续推动一场大变革。 经过战线收缩、内部反腐后，最近华为云又有了大动作。 华尔街见闻获悉，11月底，华为云进行了组织调整，将华为云研发组织切换到ICT(信息与通信)组织下，并成 立"基础设施云服务""Data&AI云服务""数据库云服务""安全云服务""HCS" 5个领域的云研发产品线。 伴随着组织调整，华为常务董事、原华为云CEO张平安任华为云董事长，原华为数据存储产品线（属于ICT部 门）总裁周跃峰担任华为云CEO。 华为将其业务划分为五个经营分部：ICT基础设施业务、终端业务、云计算业务、数字能源业务和智能汽车解决 方案业务。 显然，这一次调整是华为集团层面的调整。华为云是华为核心技术走向产业的"前台窗口"，此番将研发组织调整 到ICT组织，意味着华为云将进一步专注商业化。 张平安也曾在9月份的公开会议上表示，面对未来十年算力需求的数万倍增长，华为云将坚定不移地打造算力黑 土地，通过昇腾AI ...

Core Insights - Huawei Cloud is undergoing significant organizational changes to enhance its competitiveness in the AI and cloud computing sectors, with a focus on commercializing its services [2][4][10] Organizational Changes - Huawei Cloud has shifted its R&D organization under the ICT (Information and Communication Technology) division, establishing five cloud R&D product lines: Infrastructure Cloud Services, Data & AI Cloud Services, Database Cloud Services, Security Cloud Services, and HCS [2][3] - Zhang Pingan has been appointed as the chairman of Huawei Cloud, while Zhou Yuefeng has taken over as CEO, indicating a strategic leadership shift [2][3] Strategic Focus - The company aims to position Huawei Cloud as a "black land" for computing power, facilitating the growth of various applications on its platform [4][6] - Huawei Cloud plans to leverage its accumulated ICT and IT technology advantages to enhance its cloud platform's competitiveness through hardware-software synergy and system-level innovation [4][6] Market Position and Performance - Huawei Cloud's revenue from cloud computing was approximately 38.52 billion yuan in the previous year, reflecting a year-on-year growth of only 8.5%, which constitutes 4.5% of the total revenue [6] - In comparison, Alibaba Cloud reported a 34% year-on-year revenue growth in the third quarter, highlighting the competitive landscape [7] Recent Adjustments - In August, Huawei Cloud underwent another major organizational adjustment, consolidating several departments to focus more on AI and computing power, while reducing investments in non-core strategic areas [8][9] - The restructuring includes the integration of the Pangu large model department into other divisions, emphasizing a shift towards AI and intelligent computing [9][10]

Group 1 - The event "AI + Cloud Dual Engine, Opening a New Era for Enterprises" was successfully held in Liuzhou, focusing on the integration of artificial intelligence and cloud computing to drive the digital transformation of manufacturing in Guangxi [2][3] - Key stakeholders, including Huawei Cloud and local industry associations, emphasized the importance of AI and cloud technology in enhancing operational efficiency and exploring new business opportunities for enterprises [2][3] - The event served as a platform for companies to establish initial cooperation intentions with Guangxi Yunqijia, aiming to explore AI joint solutions based on Huawei Cloud [4][5] Group 2 - Professor Zhu Jianyong from Guangxi University highlighted national and regional policies promoting AI development, suggesting measures to support the industrialization of smart products and the creation of high-quality industrial datasets [3] - Guangxi Yunqijia's General Manager Chen Siwei discussed how the "Cloud + AI" dual engine can lower digitalization barriers and facilitate data-driven decision-making for businesses [3] - Huawei Cloud's solution architect introduced the Ascend AI Cloud service's Maas token model, which helps clients access large model capabilities efficiently and cost-effectively, promoting the widespread application of large models [3]

Core Insights - The Huawei Connect 2025 conference highlighted the rapid growth of the MaaS (Model as a Service) industry, which is crucial for the large-scale implementation of AI technologies [1] - Wisers, as a key partner of Huawei, showcased its enterprise-level AI productivity engine based on Huawei Cloud, emphasizing the importance of scalable and controllable AI applications [1][3] Industry Trends - The demand for large model services is accelerating, leading to an explosive growth trend in the MaaS industry [1] - The conference featured discussions on the evolution of MaaS platforms, providing actionable solutions for enterprises to enhance productivity in the AI era [1] Company Developments - Wisers has implemented a dual-active LLM and free distillation industry model (2+1) on Huawei Cloud, enabling more accurate and faster industry-specific applications [3] - The company faces challenges in the deployment of large models, including difficulties in computing power acquisition and high technical barriers, which it addresses through six core advantages of Huawei Cloud [3][4] Technological Advancements - Wisers' self-developed media big data mining and analysis model (Wisers Industry LLM) leads the industry in effectiveness and efficiency, unlocking significant AI commercial value [3] - The model can accurately identify complex semantics and filter irrelevant content, enhancing the efficiency and timeliness of alerts [3][4] Future Outlook - Wisers aims to build an AI-driven intelligent data platform and business decision solutions, collaborating with industry partners to promote broader and deeper AI applications [5]

Core Viewpoint - The AI City Summit held during Huawei's Connect 2025 focuses on the integration of artificial intelligence in urban governance and industrial upgrades, emphasizing the transition to a smart city framework driven by AI technology [1][3]. Group 1: AI CITY Framework - Huawei and the National Information Center released the "AI CITY 2025 Government and Industry Pioneer Cases," highlighting the transformative impact of AI on urban governance and development [3]. - The AI CITY "1234MNX" framework addresses challenges in urban governance and industrial upgrades, moving beyond traditional data-driven smart cities to a model driven by "models + knowledge" [5][6]. - The framework includes a unified intelligent cloud base, a dual security system, three AI engineering platforms, and various operational categories to enhance resource efficiency and innovation [6]. Group 2: Practical Applications and Achievements - The AI CITY framework has shown initial value in practical applications, such as the intelligent upgrade in Shenzhen, which serves over 150,000 users daily across 240 scenarios [6]. - In Guangzhou, the "1+4+N" smart city management system has revolutionized urban management, while the industrial platform in Huadu has significantly reduced product design cycles and improved efficiency [6]. - The Dongguan AI model center has increased manufacturing line inspection accuracy to 99%, showcasing the practical benefits of AI integration in various sectors [6]. Group 3: Future Prospects and Initiatives - Huawei's future vision for AI CITY includes collaboration with research institutions and enterprises to innovate urban governance and industrial upgrade cases [7]. - The company aims to enhance AI talent cultivation to support long-term industrial development and invites partners to join the AI CITY industry innovation plan [7]. - Huawei emphasizes the importance of a robust computing foundation and the development of AI models to support urban applications and ecosystem growth [8][12]. Group 4: AI's Role in Urban Development - AI is positioned as a core driver for transforming urban production, lifestyle, and governance, with significant implications for public services and industrial applications [11]. - Various successful AI applications have been implemented across cities, such as the data circulation platform in Shanghai and the digital assistant in Guizhou, enhancing service efficiency and user experience [11][12]. - Huawei's commitment to building an open and shared computing system aims to integrate global capabilities into local AI ecosystems, fostering innovation and collaboration [12].

Core Insights - Huawei has significantly upgraded its Ascend AI cloud services, enhancing its CloudMatrix platform to support large-scale AI computing needs [1] Group 1: Service Upgrades - The CloudMatrix cloud supernode specifications have been greatly enhanced, enabling ultra-large clusters and providing substantial computing power [1] - Huawei Cloud has introduced an elastic memory storage service (EMS) to improve the performance of large models [1] - The CloudMatrix 384 AI Token service has been fully launched to meet industry AI computing demands, with the innovative supernode architecture greatly enhancing system inference performance, achieving an average single-card inference performance 3-4 times that of H20 [1] Group 2: Infrastructure and Efficiency - Huawei Cloud is deploying large-scale, fully liquid-cooled AI data centers to reduce energy consumption [1] - The company offers a full-stack dedicated AI cloud service to ensure data security [1] Group 3: Market Growth - The number of customers for Ascend AI cloud services has increased from 321 last year to 1,805 this year [1] - The total AI computing power scale has grown by 268% year-on-year, providing strong momentum for intelligent upgrades across various industries [1]