应用模式创新催生新业态。"数据驱动下，平台化设计、智能化生产等新模式重塑制造流程，工业互联 网与消费互联网的融合，推动先进制造业与生产性服务业深度协同，实现更高质量的产业循环。"余晓 晖表示。 余晓晖认为，中国工业互联网历经十年从谋划到实践，已超额完成阶段性目标，未来将在大规模应用与 人工智能深度融合中迎来跨越式发展，面临两大趋势。一是工业互联网进入大规模应用阶段，未来十年 将实现工业体系全面接入；二是人工智能与工业互联网深度融合，以大模型为代表的新技术将推动工业 互联网进入智能新阶段。 余晓晖介绍，在宏观层面，2017年后制造业数字化转型加速，数字技术对制造业效率提升超越服务业， 制造业生产率较此前五年平均提高8.8个百分点；中观层面，实现41个工业大类全覆盖，形成龙头企业 带动、平台支撑的行业发展生态；企业层面，大企业完成工业互联网阶段性建设目标，中小企业在龙头 与平台带动下驶入数字化快车道。 此外，基础设施建设实现弯道超车。据介绍，工业网络领域，以5G为突破口，1.8万余个5G+工业互联 网项目实现规模化应用；工业标识解析体系注册量突破6700亿，贯通物理与数字世界；多层次工业互联 网平台体系崛起，49 ...

Core Viewpoint - The article highlights the significant advancements in industrial internet applications in Shenyang, Liaoning, showcasing how these developments are enhancing manufacturing efficiency and facilitating the digital transformation of traditional industries. Group 1: Industrial Internet Infrastructure - Shenyang has established 32 provincial-level industrial internet platforms, enhancing the comprehensive utilization rate of machine tools by nearly 40% through industrial internet identification [1][3] - The city has built 14 industrial internet identification resolution secondary nodes, with a total of 8.5 billion registered identifiers and 3.2 billion resolution instances [2] - The "Spark Chain Network" super node in Shenyang has connected 710 enterprises and registered 131 million identifiers, supporting over 13 million product data for industrial digital transformation [2] Group 2: Digital Transformation Projects - Shenyang is implementing 425 digital application scenario projects and has established a project library with 476 smart upgrade projects [4] - The city has approved 68 smart factories and 103 digital workshops, indicating a robust framework for digital transformation in manufacturing [4] Group 3: Smart Manufacturing and Efficiency Gains - The ShenGu Group's industrial internet platform has improved labor productivity by 12.9% and increased the efficiency of key component processing by 28.2% [3] - SANY Heavy Equipment's factory has achieved a 105% increase in production capacity and reduced energy consumption per sales unit by 42% through smart management [4] Group 4: Digital Transformation Service Providers - Shenyang has selected 125 digital transformation service providers to support local enterprises in their digitalization efforts [5] - The city has initiated a comprehensive action plan for the digital transformation of small and medium-sized enterprises, conducting assessments for 1,504 companies [5]

Group 1 - The Chinese government is taking measures to enhance the efficiency of business migration registration, aiming to reduce the administrative burden on companies through streamlined processes and improved collaboration among departments [1] - The Ministry of Agriculture and Rural Affairs reported that winter wheat harvesting is underway, with over 80% of winter rapeseed harvested, and preparations are being made to address potential drought impacts on summer grain production [1] - The industrial internet sector in China has seen significant growth, with a core industry scale exceeding 1.5 trillion yuan, contributing nearly 3.5 trillion yuan to economic growth and achieving coverage across 41 industrial categories [1] Group 2 - The potential economic impact of the US imposing a 50% tariff on EU imports could lead to a cumulative loss of 200 billion euros for Germany from 2025 to 2028, with losses potentially increasing to 250 billion euros if the EU retaliates [2] - Japan's government plans to sell reserve rice directly to retailers to stabilize prices, with the average price of a 5-kilogram bag of rice reaching 4,268 yen, more than double the price from the previous year [2] - The dialogue on building a community of shared future between China and Serbia was held in Belgrade, highlighting cooperation across various sectors including business, culture, and tourism [2]

Core Insights - CATL (宁德时代) successfully listed on the Hong Kong Stock Exchange with an initial price of 263 HKD per share, closing at 296 HKD, and achieving a market capitalization of 1.47 trillion HKD by May 23 [1][2] - The listing is seen as a significant milestone for CATL, marking its integration into the global capital market and supporting the transition to a zero-carbon economy [2] - The global electric vehicle infrastructure investment is projected to exceed 3 trillion USD annually by 2030, indicating a growing market for CATL's products [1] Company Developments - CATL's listing is characterized by the participation of sovereign funds and long-term capital from 15 countries, showcasing strong investor confidence [1] - The listing is noted for its rapid execution, completing in just 128 days, and is the largest IPO in Hong Kong in recent years [2] Industry Trends - The penetration rate of new energy vehicles is expected to rise, with the establishment of standardized battery swap networks and the expansion of applications in low-altitude economies and electric shipping [1] - The successful IPO of CATL reflects a broader trend of investment in the carbon neutrality sector, highlighting the importance of technological barriers and global market share in the battery industry [1]

Core Viewpoint - The Ministry of Industry and Information Technology emphasizes the importance of leveraging artificial intelligence as a "key variable" to promote the synergistic development of industrial internet and artificial intelligence [1] Group 1: Smart Computing Infrastructure - There is a call to accelerate the construction layout of intelligent computing power and to build a collaborative intelligent computing network that integrates "cloud, edge, and terminal" [1] - The implementation of the upgraded version of the "5G + Industrial Internet" 512 project is highlighted, along with actions for connectivity and high-quality development of industrial internet platforms [1] Group 2: Data and Model Development - The need to establish high-quality industrial data sets is stressed, focusing on creating high-value, high-purity, and highly usable industrial corpora and multimodal data sets in key industry sectors [1] - The promotion of specialized large models in the industrial field is encouraged, with an emphasis on open-source sharing of foundational large models for industrial applications [1] Group 3: AI Empowerment in Industry - The initiative aims to leverage industrial internet platforms to significantly enhance the digitalization, networking, and intelligence levels of the manufacturing sector through the aggregation of industrial data, models, knowledge, and algorithms [1]

Group 1 - The core argument emphasizes that innovation is fundamentally driven by talent, highlighting the urgent need to understand the new demands of Chinese modernization on education, technology, and talent [1][2] - The rapid advancement in technology and industrial iteration presents new challenges for innovation, with a significant talent gap of 19 million in fields like intelligent manufacturing and industrial internet, while traditional industries face a surplus of over 35% [1][2] - The global competition for talent has intensified, with developed countries attracting top talent and limiting cooperation with China, leading to a 27% increase in the concentration of top talent in regions with robust innovation ecosystems [2] Group 2 - There is a need to strengthen the autonomous talent cultivation in universities by aligning academic programs with national strategies and industry demands, promoting interdisciplinary studies, and enhancing the quality of engineering education [3] - A new talent development system is proposed, focusing on integrating education and industry, establishing collaborative platforms, and reforming talent evaluation systems to prioritize innovation and practical contributions [4] - A mechanism for a virtuous cycle among education, technology, and talent is essential, emphasizing the need for coordinated policies and resource allocation to achieve high-quality development and technological self-reliance [5]

Core Viewpoint - Suzhou is positioning itself as a leader in the industrial internet sector, integrating traditional manufacturing with advanced information technology to drive digital transformation and economic growth [1][2][5]. Group 1: Industrial Internet Development - Suzhou's industrial internet industry is projected to reach an added value of 146.519 billion yuan in 2024, with a growth rate of 12.5% [2]. - The city has implemented several strategic policies to enhance its industrial internet ecosystem, including measures to promote smart manufacturing and digital transformation [2][6]. - Suzhou aims to achieve a significant leap in industrial internet development by 2025, focusing on new models and business formats [2]. Group 2: Infrastructure and Technological Advancements - Suzhou has built 61,000 5G base stations, leading the province and ranking among the top in the country, with a coverage of 46 base stations per 10,000 people [3]. - The city has established a national-level internet backbone connection point and 17 secondary nodes for identification and resolution, supporting various key industries [3]. - The integration of advanced technologies such as 5G, AI, and digital twins is expanding the application scenarios of the industrial internet [5]. Group 3: Case Studies and Industry Applications - Companies like GCL-Poly and Fule Electronics are leveraging digital tools to enhance production efficiency and product quality, with Fule Electronics reporting a 30% increase in annual output value [4]. - Suzhou Tian Tong Vision has successfully launched intelligent driving solutions in over 30 countries, showcasing the city's innovation in smart technology [5]. - The city is fostering a collaborative development model where leading enterprises build platforms for smaller companies to utilize, enhancing overall industrial connectivity [7]. Group 4: Talent and Safety Initiatives - Suzhou is developing a multi-tier talent supply chain through partnerships with local universities and vocational colleges focused on industrial internet training [6]. - The city has recognized several companies for their contributions to industrial internet security, with 157 enterprises listed as provincial-level industrial information security protection stars [6].

Core Viewpoint - The conference held in Hohhot aims to promote the large-scale application of 5G technology and accelerate the digital transformation of Inner Mongolia's economy and society, gathering over 400 elites to discuss strategies for digital economic development [2][3]. Group 1: 5G Application and Digital Transformation - 5G applications have penetrated various sectors in Inner Mongolia, including mining, healthcare, and education, emphasizing the need for integrated empowerment in the digital transformation process [2][4]. - China Mobile Inner Mongolia Company launched the "Digital Empowerment Special Action," marking a significant step in its digital transformation efforts [3][4]. - The conference featured discussions on AI and industrial applications, showcasing solutions aimed at enhancing production efficiency and competitiveness [3][4]. Group 2: Ecosystem Development and Collaboration - The event included the signing of the "Beneficial Enterprise Co-Creation" ecological alliance and agreements for the digital transformation of small and medium-sized enterprises [3][4]. - China Mobile Inner Mongolia Company aims to build an advanced demonstration benchmark for green and intelligent development by collaborating with various enterprises [3][4]. - The successful hosting of the conference signifies a new phase in the digital transformation of enterprises in Inner Mongolia, injecting new momentum into the large-scale application of 5G technology [4].

中小企业在数字化转型进程中，普遍面临人才结构性短缺的难题。全国工信行职委有关负责人表示，工 信部门高度重视产业人才培育，建议强化政策协同，推动产业政策与人才政策进一步结合。要明确需求 导向，持续开展产业人才需求预测工作，引导职业院校依据企业需求改革人才培养方案，优化专业设 置。深化产教融合，搭建合作平台，构建"政产学研用"多方联动的数字化转型人才培育生态。 5月16日，职业教育赋能中小企业数字化转型对接活动在江西九江举办。本次活动是2025年职业教育活 动周重点活动之一，由全国工业和信息化职业教育教学指导委员会、中国工业互联网研究院等共同举 办。 会上，九江市数字人才培训基地启动。该基地由中国工业互联网研究院联合九江市工业互联网协会、九 江市工业发展集团共同建设，后续，将依托基地建设江西省首个数字技术工程师评价中心，开展工业互 联网工程技术人员等数字人才培养，探索产教融合、产才融合新路径。 中国工业互联网研究院总工程师张晓彤建议，应进一步推进人才培养体系改革，开展《工业互联网人才 图谱和培养指南》研究。推动人工智能与职业教育深度融合，培养熟悉工业场景的人工智能专业人才。 完善产教融合合作机制，建设数字人才基地 ...

Core Viewpoint - The Chinese government emphasizes the acceleration of service-oriented manufacturing as a crucial direction for the transformation and upgrading of the manufacturing industry, as outlined in various strategic documents including the "14th Five-Year Plan" and the "2035 Vision" [1] Group 1: Definition and Characteristics of Service-Oriented Manufacturing - Service-oriented manufacturing refers to increasing the proportion of service elements in business operations, shifting the focus from product production and sales to providing "product + service" [1] - This model extends value creation across the entire product lifecycle, characterized by full-cycle, customization, and knowledge-intensive features, integrating manufacturing and services [1] Group 2: Benefits of Service-Oriented Manufacturing - It creates new value growth points by extending profit generation throughout the product lifecycle, significantly improving profit margins and reducing the risk of homogeneous competition [2] - It enhances the resilience of supply chains by integrating resources across various stages of production and logistics, fostering long-term cooperative relationships among stakeholders [3] - It promotes an innovative ecosystem by necessitating collaboration across multiple fields, leading to resource sharing and lowering innovation costs [4] - It supports sustainable development by encouraging the design of durable and easily repairable products, optimizing resource utilization and reducing carbon emissions [4] Group 3: Challenges and Recommendations for Development - The service-oriented manufacturing sector in China is still in its early stages, with some companies showing low willingness and capability for transformation [5] - Recommendations for promoting high-quality development include strengthening policy support through financial incentives, enhancing infrastructure for industrial internet and big data, and focusing on the cultivation of interdisciplinary talents [5]