华为全联接大会2025期间，在制造与大企业全球峰会上，华为携手全球行业知名企业分享电子、汽车、零售、农牧食品等领域最新数智化实践，并发布面 向企业的研-产-供-销-服-管的AI智能助手方案套件以及《工业与AI融合应用指南》报告，同时，联合十余家企业分别发布行业AI创新方案和2025年全新全 球样板点，共同深耕企业价值链，迸发数智生产力。 企业AI战略，已对准落地与价值创造 在人工智能日新月异的当下，企业数字化与智能升级正在构建全新业务能力，推动用户体验、业务模式和服务方式发生根本性创新。对于广大非AI原生 的制造与大企业，既是机遇也伴随着不确定性的挑战。 华为董事、质量流程与IT总裁陶景文强调，持续构建数字化平台能力，是华为应对智能化浪潮的关键。他表示，华为正在运用系统工程方法解决智能升级 中的新课题，把企业IT架构从数字化的1个"T"升级为全面智能化的2个"T"，通过小切口深耕业务场景，将"知识和数据"打造成AI可用的资产，提升服务效 率、主动性和交互体验，形成新的业务能力。 华为董事、质量流程IT总裁陶景文 华为联合多家企业发布制造与大企业领域系列化方案及全球样板点 华为以行业智能化为目标，深耕研发与生产 ...

Core Viewpoint - Huawei is focusing on the integration of AI into various industries, emphasizing the importance of digital transformation and intelligent upgrades to enhance business capabilities and user experiences [1][4]. Group 1: AI Strategy and Implementation - The AI strategy of enterprises is aimed at practical application and value creation, with a focus on building digital platform capabilities to address challenges in intelligent upgrades [1][4]. - Huawei is transitioning its IT architecture from a digital "T" model to a fully intelligent "T" model, enhancing service efficiency and user interaction through the utilization of knowledge and data as AI assets [1][4]. Group 2: Industry Collaboration and Solutions - Huawei has launched a suite of AI solutions targeting the core value chain of enterprises, including research, operations, service, sales, supply, and production assistants, to optimize business processes and improve collaboration efficiency [7]. - The company has partnered with various organizations to release the "Industrial and AI Integration Application Guide," providing a systematic analysis for enterprises to implement AI [7][9]. Group 3: Industry Innovations and Case Studies - Multiple industry innovations were showcased, including solutions for automotive, retail, and agriculture, highlighting the role of AI in enhancing operational efficiency and user experience [6][9]. - The summit introduced eight new global model points for 2025, aimed at promoting industry exchanges and accelerating the implementation of intelligent solutions [11][13].

Core Viewpoint - The article emphasizes the importance of AI integration in various industries, showcasing Huawei's commitment to enhancing enterprise value chains through intelligent solutions and collaborative innovation [2][10][19]. Group 1: AI Strategy and Implementation - Enterprises are focusing on digital transformation and intelligent upgrades to create new business capabilities, fundamentally innovating user experiences, business models, and service methods [4]. - Huawei's strategy involves building digital platform capabilities to address challenges in intelligent upgrades, transitioning from a digital "T" architecture to a fully intelligent one [5]. - The combination of powerful foundational models and high-quality industry data enhances AI usability in enterprises, while the expansion of agent capabilities allows AI to evolve from a supportive role to a more proactive assistant [7]. Group 2: Industry Collaboration and Solutions - Huawei has launched a suite of AI solutions targeting various aspects of enterprise operations, including research and development, sales, and supply chain management, to optimize business processes and improve collaboration efficiency [10]. - The release of the "Industrial and AI Integration Application Guide" by Huawei in collaboration with institutions like the China Academy of Information and Communications Technology provides a systematic analysis for enterprises to implement AI [11][13]. - Six innovative industry solutions were presented, including automotive, retail, and industrial applications, demonstrating the practical implementation of AI technologies [12]. Group 3: Global Sample Points and Future Vision - The summit introduced eight new global sample points aimed at promoting industry exchange and accelerating the implementation of intelligent solutions across various sectors [17]. - Huawei aims to work closely with global manufacturing and large enterprises to achieve digital transformation goals and unleash industry productivity [19].