1.发展以智算为重点的算力产业。加快培育服务器、机架、电源设备等算力硬件制造产业。大力发展云 服务、云计算等算力运营服务产业，持续壮大云服务"首位产业"。培育数据中心运维、安全、算力适配 等算力配套产业。组织开展算力产业供需对接。集聚华为云生态企业累计达到150家。(责任单位：省大 数据局、省工业和信息化厅，各市〔州〕、贵安新区数据管理部门。除专门列出外，以下任务均涉及各 市〔州〕、贵安新区数据管理部门，不再重复) 2.发展以建设高质量数据集为重点的数据产业。加快推进博彦科技、东软等企业或项目落地见效，培育 壮大数据企业矩阵。支持企业开放数据标注需求，"一企一策"推动已建数据中心数据标注业务落地。积 极争创建设国家数据产业集聚区、数据标注试点。全省从事数据标注人员达到2万人以上。(责任单位： 省大数据局、贵州大数据集团) 3.发展以行业大模型应用为重点的人工智能产业。深入实施"人工智能+"行动，推进政务、广电等重点 领域人工智能应用，培育10个以上行业大模型应用标杆，打造100个以上人工智能典型应用场景。推动5 个生成式人工智能服务通过备案或登记。建设人工智能应用推广中心。用好省人工智能实验室，积极争 取人工 ...

引言 在AI时代，流量获取和运营成为企业生存发展的关键。广州作为华南地区的科技中心，涌现出了众多优秀的GEO智能推荐公司。今天，我们就来聊聊2026 年广州GEO智能推荐TOP5公司，看看哪家更专业。 一、万界智联（广州）智能科技有限公司 公司简介 万界智联（广州）智能科技有限公司坐落于广州花都区商业大道209号，现有员工50-100人，深耕AI智能科技研发、销售领域，以"让企业没有难做的流 量"为核心目标，构建了覆盖流量获取、运营、转化全链路的一站式产品服务体系。 核心优势 GEO优化服务：通过语义理解优化、专属知识图谱构建及全链路自动化运营，将企业业务关键词转化为大模型易抓取的长尾词，同步覆盖豆包、kimi、 Deepseek等主流AI平台与各类自媒体渠道。 AI数字人与无人直播：实现7×24小时不间断运营，完美覆盖凌晨、节假日等流量真空时段，可自动完成脚本讲解、弹幕互动、商品上架等操作。 矩阵系统：实现多平台统一管理，具备"一次创作、多平台适配"的核心优势，大幅降低人力成本。 实操建议 GEO优化：定期更新关键词库，结合行业趋势调整优化策略。 AI数字人：选择与品牌形象相符的虚拟形象，定制化话术提升用户 ...

2月1日，医疗人工智能协同创新论坛暨医疗人工智能联盟（筹）2026年第一次学术会议在上海练秋湖华为研发中心举办。华为云在会上发布"行业AI梦工 厂"首个专区——智慧医疗专区，明确在医疗AI领域的布局，目标以技术创新破解医疗资源均衡难题，推动医疗AI普惠。 第二项重磅举措，是华为云"行业AI梦工厂"首个专区——智慧医疗专区的正式推出。据周跃峰介绍，技术只有解决行业问题，才能创造真正价值。该专区深 度融合了瑞金医院等头部医疗机构的先进临床经验，以及华为在ICT、云、AI等领域的技术沉淀与实践成果。它将为基层医院及医生、合作伙伴、开发者提 供一套覆盖场景、模型、平台到社区的端到端支撑体系，让AI真正普惠每一家医院、每一位医生、每一名患者。 第三项举措是关于生态建设。周跃峰强调，医疗AI的普惠从来不是一家企业能单独完成的使命，生态共筑才是关键，要聚产业之力，共建共享，才能让医 疗AI创新更简单。华为呼吁更多医疗机构、科技企业和开发者加入进来，共同建设智慧医疗专区。通过共建共享领先的行业模型、高质量数据集、场景化 应用与AI工具链，降低医疗AI创新的门槛，加速医疗AI的规模化落地与普惠应用。 从夯实数字底座到打造智慧医 ...

随着AI技术更迭，华为持续在AI应用领域探索，近年来医疗AI成为重点赛道之一。 2月1日，在医疗人工智能协同创新论坛暨医疗人工智能联盟（筹）2026年第一次学术会议上，华为云发布"行业AI梦工厂"首个 专区——智慧医疗专区。 在业内看来，这一举措有望缓解医疗行业长期存在的"数字化进展缓慢、数据孤岛严重、重复开发成本高、AI应用门槛高"等问 题，加速优质医疗AI能力向更广泛人群普惠。 另一方面，在基层医疗场景中，面向基层医院和医生，华为发布业界首个智慧病理云边端解决方案：通过云边端协同，将瑞金 医院与华为联合研发的RuiPath病理大模型能力，以云或智慧病理一体机为载体下沉至基层，将头部医院的前沿能力转化为基层 医院"用得上、用得起"的普惠工具。 据悉，RuiPath是中国首个临床级多模态病理大模型，目前已能覆盖中国每年全癌种发病人数90%的19个常见癌种。同时， RuiPath在业界12个主流公开数据集的14个辅助诊断任务测试中，有7个达到业界领先水平（SOTA），这标志着AI真正从实验室 走进了临床。 长期以来，我国优质医疗资源分布不均，尤其是病理诊断等领域，专家多集中于少数大城市医院。对于患者而言，异地就 ...

Core Viewpoint - The competition among cloud service providers in China, particularly in the AI cloud sector, is intensifying, with companies like Alibaba Cloud, Volcano Engine, and Tencent Cloud adopting different strategies to capture market share and achieve profitability [1][6][26]. Group 1: Advertising and Market Position - Since 2025, the number of AI cloud-related advertisements in major airports has significantly increased, with major players like Alibaba Cloud and Volcano Engine dominating the advertising space [1]. - In Shenzhen's Bao'an Airport, Alibaba Cloud claims to lead the AI cloud market share, while Volcano Engine asserts a 46.4% share of the public cloud large model market [2][5]. - Tencent Cloud's absence from the advertising scene is notable, especially as AI is seen as a critical growth area for cloud computing [5]. Group 2: Profitability vs. Scale - Tencent Cloud achieved overall profitability in its cloud business by 2025, a rare feat in an industry plagued by a "profit black hole" due to prolonged price wars [6][8]. - The industry has seen a trend where higher revenues often correlate with greater losses, with Alibaba Cloud's latest report showing a profit margin of less than 9% [8]. - Tencent Cloud has shifted its focus from absolute revenue to sustainable income structures, leading to a reduction in low-profit business segments [10]. Group 3: Business Strategies - Tencent Cloud's strategy emphasizes high-quality growth and a focus on high-value clients, resulting in a decrease in market share but a healthier revenue model [10][12]. - Volcano Engine's approach involves aggressive pricing for Token sales to attract AI customers, but this model has been criticized for lacking customer retention [14][15]. - Tencent Cloud's business structure is differentiated, with a focus on 40% IaaS, 40% PaaS, and 20% SaaS, highlighting its commitment to AI SaaS products [17]. Group 4: Market Growth and Competition - The AI cloud market in China reached 22.3 billion yuan in the first half of 2025, with Alibaba Cloud holding a 35.8% market share, followed by Volcano Engine at 14.8% [28]. - Tencent Cloud's revenue from partnerships has shown double-digit growth, with AI and SaaS product orders doubling [24]. - The competition is not just about market share but also about long-term sustainability and the ability to adapt to industry changes [26]. Group 5: Ecosystem and Partnerships - Tencent Cloud emphasizes a partnership-first approach, valuing long-term relationships with partners over short-term gains [24]. - The company has collaborated with over 11,000 partners, maintaining a focus on mutual respect and shared benefits [24]. - The competitive landscape has seen some cloud providers exploit partnerships, leading to a breakdown in trust and collaboration [21][22].

Core Insights - Artificial intelligence (AI) has transitioned from a topic of discussion to a strategic focus for industries, especially following the Chinese government's endorsement of AI integration into various sectors [1][3] - Huawei Cloud has been recognized for its AI infrastructure and industry integration, showcasing its role in transforming AI from a conceptual tool to a practical business engine [1][7] Group 1: AI Integration and Industry Transformation - AI technology is systematically reshaping various industries, with Huawei Cloud emphasizing the importance of combining computational power with industry-specific scenarios [3][7] - The collaboration between Huawei Cloud and Nanjing Steel has led to the development of the "Yuanye Steel Model," which has implemented 20 intelligent applications across four business areas, enhancing production processes [4] - In Inner Mongolia, Huawei Cloud's partnership has resulted in the world's first fleet of 100 autonomous electric mining trucks, demonstrating significant operational efficiency and safety improvements [4] Group 2: Achievements and Impact - Huawei Cloud has enabled substantial efficiency gains across multiple sectors, such as reducing inspection times from 6 hours to 20 minutes in industrial inspections, achieving over 98% accuracy in fault detection [5] - In the steel industry, AI has improved temperature prediction accuracy in blast furnaces to 80%, leading to a fuel saving of approximately 7,800 tons per furnace annually [5] - The company has developed over 30 industry-specific AI models, serving more than 500 scenarios and 2,600 enterprises across various fields, contributing to high-quality industrial development in China [9] Group 3: Strategic Approach and Future Directions - Huawei Cloud aims to tackle complex industry challenges by focusing on three key areas: understanding physical environments, managing specialized data, and ensuring effective implementation of AI solutions [8] - The company positions itself as a "technical partner," providing comprehensive AI services that include not only computational power but also development frameworks and industry solutions [8] - Looking ahead, Huawei Cloud is committed to continuous innovation in core technologies and collaborative efforts with industry partners to embed AI deeply into core business processes, thereby creating new industrial value [9]

Core Viewpoint - Huawei emphasizes the transformative potential of AI in reshaping traditional medical service models, aiming to enhance the efficient utilization of scarce quality medical resources in China [1]. Group 1: Strategic Initiatives - Huawei Cloud has launched the "Industry AI Dream Factory" smart medical section and the RuiPath smart pathology integrated machine, marking a significant step in the practical application of medical AI [1][5]. - The company has served over 1,800 tertiary hospitals across China, building a solid understanding and practical experience in the healthcare sector [5]. Group 2: Technological Framework - The RuiPath smart pathology integrated machine utilizes a "cloud-edge-end" collaborative architecture, enabling advanced pathology capabilities from top hospitals to be accessible at the grassroots level, thus lowering the barriers for AI pathology technology adoption [5]. - Huawei's smart medical section integrates clinical experiences from top medical institutions with its expertise in ICT, cloud computing, and AI, creating an end-to-end medical AI support system covering "scenarios-models-platforms-communities" [6]. Group 3: Collaborative Ecosystem - The development of medical AI is presented as a collective effort requiring participation from various stakeholders, including medical institutions, tech companies, research units, and developers [7]. - Huawei aims to simplify medical AI innovation, ensuring that every hospital, doctor, and patient can benefit from these advancements [7].

本报北京1月29日电 29日，以"向智向实提质增效"为主题的第二届"新质生产力产业实践洞见"活动在北 京举行。活动由环球时报社主办，旨在凝聚产业共识、共探实践路径，积极推动新质生产力赋能千行百 业，展示中国经济高质量发展优秀成果。 活动围绕人工智能（AI）、科技创新等前沿议题展开，设置了主题演讲、实践分享和圆桌对话等多个 环节。包括华为云在内的企业分享了人工智能在行业中的应用成果。现场还发布了多个新质生产力产业 实践示范案例，涵盖智能制造、智慧交通等领域，展现了科技赋能实体经济的生动图景。 （文章来源：人民日报） 环球时报连续两年举办该系列活动，活动汇聚多方智慧，成为推动新质生产力发展的重要交流平台。 在"环球大家谈"环节，与会嘉宾围绕"从研发到应用：AI如何从'试点示范'到'千行万业规模化'？"展开 深入讨论，共同为加快构建现代化产业体系建言献策。 ...

Core Viewpoint - Guizhou Province is focusing on technology innovation to drive high-quality economic development, with a significant emphasis on the digital economy, which is projected to increase its GDP share from 38.2% in 2020 to 53.3% by 2024, marking a transition from rapid growth to quality enhancement [2] Group 1: Digital Economy Development - The digital economy is seen as a crucial engine for high-quality economic growth, with Guizhou implementing the "Digital Active City" strategy to enhance digital industrialization and governance [2] - The share of the digital economy in GDP is expected to rise significantly, indicating a robust transition towards quality and efficiency [2] Group 2: Computing Power Infrastructure - Guizhou has established 26 large-scale data centers, achieving a total computing power of over 126 EFlops, with over 98% being intelligent computing power, positioning it as a leading region for domestic intelligent computing capabilities [3] - The region has transformed from "machine room economy" to "storage-computing integration," successfully creating a cluster of Huawei Cloud intelligent computing centers [3] Group 3: Regulatory Framework - The implementation of the "Guizhou City Computing Power Industry Promotion Regulations" in 2025 marks a significant step towards the legal and standardized development of the computing power industry [4] - Guizhou is recognized for its exemplary practices in building a national computing power guarantee base, receiving commendation from the State Council [4] Group 4: Digital Transformation Applications - Over the past five years, Guizhou has launched 504 digital application scenarios across government, civilian, and commercial sectors, significantly transforming governance and industry practices [5][6] - The "Shuang Guiyang" one-stop service platform has integrated over 2,500 public services, showcasing a new model of grassroots governance [6] Group 5: Industrial Growth - Guizhou is focusing on the electronic information manufacturing and software service industries, with the electronic information manufacturing sector projected to reach a total output value of 44 billion yuan by the end of the 14th Five-Year Plan, growing at an annual rate of 13% [7] - The software and information technology service industry is expected to exceed 100 billion yuan in revenue, marking a 6.7-fold increase from 2020 [7] Group 6: Innovation and Talent Development - The successful hosting of the Big Data Expo for 11 consecutive years has established Guizhou as a global leader in the big data field, with a total talent pool of 246,700 in the digital economy [8] - Guizhou has set up an industrial development fund exceeding 18 billion yuan and introduced various policies to support the software and big model industries [8] Group 7: Future Goals - Guizhou aims to achieve a scale of 300 billion yuan in the digital industry by the end of the 15th Five-Year Plan, continuing to implement the "Digital Active City" strategy [8] - The focus will be on enhancing the synergy between computing power, data, artificial intelligence, and electronic information industries, while also improving social governance and service efficiency [8]

Core Viewpoint - The implementation plan for the digital transformation of the automotive industry aims to promote high-quality development through smart manufacturing and the integration of new information technologies like artificial intelligence [1] Group 1: Digital Transformation in the Automotive Industry - The Ministry of Industry and Information Technology, Ministry of Education, State Administration for Market Regulation, and National Bureau of Statistics jointly issued the "Implementation Plan for Digital Transformation in the Automotive Industry" [1] - The plan focuses on enhancing the digital collaboration among enterprises of various sizes to facilitate high-quality development in the automotive sector [1] Group 2: Company Profile - Hebei Keli Automotive Equipment Co., Ltd. - Hebei Keli Automotive Equipment Co., Ltd. is a leading enterprise in the automotive glass assembly component sector, specializing in the research and manufacturing of key components like windshield installation assemblies and side window lifting components [3] - The company has received multiple authoritative certifications, including being recognized as a national-level "specialized, refined, and innovative" small giant enterprise and a high-tech enterprise [3] Group 3: Collaboration with Huawei Cloud - Keli Equipment is actively pursuing digital transformation by collaborating with Huawei Cloud to advance its smart manufacturing initiatives [3][11] - The partnership aims to optimize over 460 core business processes across six key domains, including finance, research and development, production, procurement, human resources, and enterprise office [7] Group 4: Digital Upgrade Strategy - The digital upgrade strategy focuses on breaking down data silos and building an integrated platform to enhance operational efficiency and data-driven decision-making [5][7] - The integration involves upgrading existing core systems like ERP, MES, and WMS to create a unified data integration platform and business collaboration hub [7] Group 5: Future Outlook - The collaboration with Huawei Cloud is seen as a critical step in Keli Equipment's strategy to enhance internal collaboration efficiency and market responsiveness, thereby solidifying its industry leadership [11] - The partnership exemplifies a significant practice in the intelligent upgrade of the Chinese automotive parts industry, showcasing the advanced direction and solid progress of "Chinese manufacturing" [12]