（来源：经济日报） 转自：经济日报 在人才储备领域，施耐德电气与11所职业院校开展数字化学徒项目、搭建AI实验室及设立专项奖学金，构建从校园到职场的可持续技能输送管道。在能 力提升方面，借助AI技术精准识别员工技能缺口，提供定制化培训方案与职业发展规划，推动56%的员工实现技能提升，高级别专家占比从35%提升至 76%，并将新员工入职培训周期从75天缩短至15天。在创新赋能方面，借助AI技术处理重复性工作，释放工程师精力聚焦高价值创新，助力新产品导入周 期从36个月缩短至12个月。 "在施耐德电气，AI是用来赋能员工，而不是取代员工。"施耐德电气全球供应链中国区人力资源副总裁孟红霞表示，武汉工厂作为"人才灯塔工厂"，其核 心是人机协同，AI和数字化工具是用来"武装"人的，旨在让员工从重复劳动中解放，专注于创新和价值创造。 施耐德电气武汉工厂总经理王薇表示，目前工厂已部署21个AI智能体，专门处理报表制作、集采等繁琐的常规任务。同时，通过部署"以人为本"的智能排 班系统，精准匹配员工技能与个性化需求，实现工作负荷的动态平衡。 近日，位于武汉东湖新技术开发区的施耐德电气武汉工厂获评世界经济论坛（WEF）"人才灯塔 ...

Core Viewpoint - Malaysia is advancing its digital economy and bridging domestic digital development gaps by deepening cooperation with China in the fields of digital economy and artificial intelligence (AI) [1] Group 1: Digital Economy Development - Access to technology is crucial for inclusivity and economic governance in modern society [1] - Malaysia faces challenges in uneven distribution of digital technology, with remote areas lacking high-speed internet and small to medium-sized enterprises lagging in cloud computing, AI, and data analytics [1] Group 2: Cooperation with China - China is at the forefront of global digital innovation, leading in areas such as 5G deployment, fiber optic coverage, and quantum computing [1] - Through collaboration with China, Malaysia is transitioning from being a "user" of technology to a "co-developer" [1] Group 3: Milestones and Agreements - The year 2025 is highlighted as a significant milestone for digital cooperation between Malaysia and China [1] - In April of the previous year, both countries signed cooperation documents in digital economy and AI, aiming for comprehensive collaboration in policy coordination, regulatory alignment, industrial digital transformation, and talent development [1] Group 4: Infrastructure and Investment - China has become an important partner for Malaysia in infrastructure investment and AI collaboration [1] - Bilateral cooperation is expected to strengthen the foundation of Malaysia's digital economy and support its transition to a more interconnected and inclusive economy [1]

Group 1 - The A-share market has shown a structural trend since the beginning of 2026, with thematic ETFs gaining popularity due to their precise sector positioning and efficiency, resulting in a net inflow of 9.519 billion yuan and an average net value growth rate of 6.6% as of January 11 [1] - Leading products in niche sectors have performed exceptionally well, with eight ETFs, including Huaxia CSI Nonferrous Metals Industry ETF and E Fund CSI 300 Non-Bank ETF, each seeing net inflows exceeding 1 billion yuan within the month [2] - The strong performance of thematic ETFs reflects a market focus on technology innovation and high-end manufacturing, with 99 products achieving net value growth rates exceeding 10% in January [2] Group 2 - The impressive performance of thematic ETFs is attributed to the public fund industry's ongoing deepening and refinement of product layouts, moving away from homogeneous competition to focus on differentiated niche themes [3] - New product launches, such as Yongying Fund's Industrial Software Theme ETF and E Fund's CSI All-Index Food ETF, demonstrate the trend of targeting specific segments within broader industries, enhancing the product spectrum [3] - The competitive landscape has shifted, with leading institutions and smaller public funds adjusting strategies to create "blockbuster products" in niche areas, as evidenced by the rapid scale growth of E Fund's AI Theme ETF [3][4]

Core Viewpoint - The article discusses the implementation of the "Data Element ×" three-year action plan (2024-2026) aimed at accelerating the development and utilization of data across various industries, highlighting the selection of typical cases to showcase advancements in data value release and utilization [1] Group 1: Company Overview - Guotou Integration (Huangshi) Technology Co., Ltd. is an industrial internet platform service provider located in Huangshi City, focusing on digital transformation for manufacturing enterprises [2] - The company operates under the core philosophy of "data empowering manufacturing, releasing multiplier effects" [2] Group 2: Challenges in Manufacturing - Manufacturing enterprises face common challenges during their digital and intelligent transformation, including fragmented data systems and low production and management efficiency [4] - Traditional production management relies on manual experience, hindering precise resource allocation and real-time insights, which restricts cost reduction and quality improvement [4] Group 3: Key Practices - A multi-source data fusion base was constructed to eliminate information silos, integrating data from various systems and devices to form a unified data map [6] - A modular service platform was developed to provide flexible adaptation for production planning, intelligent warehousing, equipment monitoring, and quality management [6] - An intelligent analysis decision engine was deployed, integrating big data and AI technologies to support data-driven decision-making [6] - A comprehensive data governance and security system was established to ensure compliance, safety, and reliability throughout the data lifecycle [7] Group 4: Application Results - The platform's solutions have been successfully applied in multiple industries, serving over 300 enterprises [8] - Participating companies have reported over 20% improvement in production efficiency and over 20% reduction in operational costs [8] - The platform has created a new model for digital transformation characterized by "data-driven, modular decoupling, and ecological collaboration," providing replicable and scalable solutions for the manufacturing sector [8]

Group 1: Key Recommendations - The report highlights that certain export chain companies have announced profit growth forecasts for their annual reports, particularly in the machinery equipment sector, indicating a positive outlook for the industry [4][5]. - Giant Technology expects a net profit of 2.419 billion to 2.764 billion yuan for 2025, representing a year-on-year growth of 5% to 20%, driven by new product sales and cross-border e-commerce [4]. - TaoTao Automotive anticipates a net profit of 800 million to 850 million yuan for 2025, marking an impressive growth of 85.5% to 97.1%, attributed to enhanced operational efficiency and overseas capacity expansion [5]. Group 2: Industry Insights - Siemens is undergoing a strategic transformation to enhance its digital capabilities and integrate industrial AI, with a projected net income of 10.4 billion euros for the 2025 fiscal year, a 16% increase year-on-year [6]. - The report emphasizes the growing demand for cooling solutions in data centers, driven by the need for energy efficiency and lower PUE (Power Usage Effectiveness), creating market opportunities for high-end cooling solutions [8]. - The industrial AI sector is evolving from concept to reality, with applications like the Industrial Copilot being showcased, which aids engineers in improving programming efficiency during equipment debugging [7]. Group 3: Capital Market Developments - The report discusses the comprehensive implementation of the public fund fee reform, which aims to optimize the industry ecosystem by reducing costs for investors and enhancing long-term investment behavior [11][12]. - The new regulations will lead to an annual reduction of over 50 billion yuan in costs for investors, with significant changes in subscription and redemption fee structures [13]. - Fund sales institutions are expected to face profitability pressures due to reduced fees, prompting a shift towards service-oriented business models [14][15]. Group 4: Economic Indicators - The ISM Non-Manufacturing PMI in the U.S. for December 2025 was reported at 54.4, indicating a stronger performance than expected [17]. - The Eurozone's CPI for December 2025 showed a year-on-year increase of 2.0%, aligning with market expectations [19]. - The ADP employment report indicated an increase of 41,000 jobs in the U.S. for December 2025, slightly below expectations [20]. Group 5: Market Performance - The A-share market showed slight fluctuations, with the Shanghai Composite Index closing at 4085 points, reflecting a marginal increase of 0.05% [23]. - The electronic chemical sector experienced significant gains, leading the market with a rise of 5.19%, while other sectors showed mixed performance [25]. - The report notes that the market is currently facing a divergence, with a notable number of stocks experiencing substantial gains and losses [24].

Funding and Investment Projects - The company plans to invest ¥68,766.42 million in the "Dingjie Intelligent Ecosystem Empowerment Platform Project," which includes the establishment of a research and training base and platform project development [2] - An additional ¥14,000 million will be allocated to supplement working capital to support daily operations and business development [2] Relationship with Existing Business - The platform project development is an upgrade based on the company's existing platform research, enhancing product functionality and application areas [3] - The training base will serve as a research facility and a center for client training and demonstrations, aiding in customer maintenance and expansion [3] Industry Development and Policy Support - The industrial sector is experiencing strong policy support for AI applications, as highlighted by the Ministry of Industry and Information Technology's initiative to implement "Artificial Intelligence + Manufacturing" actions [3] - This initiative aims to enhance industrial production efficiency, optimize processes, and promote the integration of industrial software with AI [3] Management Efficiency Measures - The company is enhancing internal management by leveraging AI technology to optimize operations, research, delivery, and marketing processes, thereby improving overall operational efficiency [3] Future Development Strategy - The company will adhere to the "Intelligent +" strategy, focusing on innovating productivity through data and intelligent technology [3] - Plans include transitioning to a platform ecosystem model, further developing the Dingjie Athena platform and new applications to provide high-value tools and environments for ISV partners and clients [3]

Core Insights - The global electronic truck scale (weighbridge) market is projected to reach USD 1.02 billion by 2030, with a compound annual growth rate (CAGR) of 4.1% from 2025 to 2031, driven by the transformation towards digitalization and system integration in traditional equipment sectors [3][19]. Market Overview - The electronic truck scale is widely used in logistics, warehousing, metallurgy, and chemical industries, consisting of components such as load cells, display instruments, and limit devices [2]. - The market is primarily driven by the growth in the transportation and logistics sector, strict overload compliance regulations, and increasing demand from mining, construction, and agriculture [16][18]. Market Dynamics - Major manufacturers in the global electronic truck scale market include Mettler Toledo, Avery Weigh-Tronix, and Fairbanks Scales, with the top five companies holding approximately 32.0% market share in 2024 [7]. - The ground-mounted scales represent the largest product segment, accounting for about 17.1% of the market share [10]. - The transportation and logistics sector is the leading application area, contributing approximately 38.5% of the market demand [12]. Challenges - High initial investment and maintenance costs pose a barrier for small businesses [19]. - Environmental conditions can affect the accuracy and lifespan of scales, particularly in outdoor or heavy-load environments [19]. - Complex installation requirements and data security issues related to system integration are significant challenges [19]. Future Outlook - Emerging markets are investing in infrastructure development, which is expected to drive demand for reliable weighing solutions [18]. - The market is experiencing a shift towards automation and digital weighing solutions, enhancing operational efficiency and real-time decision-making capabilities [16].

Core Insights - The article discusses the industrial digital transformation in China, emphasizing the challenges of computing power supply, scene adaptation, and security control as key areas for development [1][3] - Inspur Huading has launched the AGC architecture intelligent computing integrated machine to address these challenges and support high-quality industrial development [1][3] Group 1: Industry Challenges - Industrial enterprises face difficulties in digital transformation, including insufficient computing power, high costs of scene adaptation, and security risks [3] - The core challenge lies in the contradiction between the strategic demand for enterprise-wide intelligence and the insufficient supply of technology, organization, and talent [1][3] Group 2: Technological Strategy - The AGC architecture represents a breakthrough in mid-to-high-end AI computing nodes, enhancing interconnection systems, hardware compatibility, and reliability [5] - The architecture supports up to 20 GPU computing cores per node, doubling the computing density compared to traditional architectures, meeting high-density computing needs [3][5] Group 3: Market Strategy - Inspur Huading focuses on core customers and deepens vertical applications in industrial regions such as Beijing-Tianjin-Hebei, Yangtze River Delta, and Pearl River Delta [6] - The company aims to create industry benchmark cases to drive market expansion [6] Group 4: Customized Solutions - Tailored solutions are provided for various industries, such as integrated machines for industrial design in manufacturing and smart monitoring systems in mining [7] - The company helps enterprises build differentiated competitive advantages in niche markets, gradually forming a customer ecosystem across ten industries [7] Group 5: Ecosystem Strategy - The AGC architecture supports compatibility with third-party industrial software, avoiding "technology islands" [8] - The company offers a full lifecycle service from deployment to operation support, ensuring stable operation of digital systems [8] - Future plans include increasing R&D investment to convert digital technology into actual momentum for industrial upgrades [8]

Core Points - The International Electrotechnical Commission (IEC) has officially released the world's first international standard for industrial 5G, titled "General Requirements for Industrial Network 5G Communication Technology" [1][2] - The standard was jointly proposed by China and Germany, with contributions from experts from the United States, France, Japan, and other countries, filling a gap in international standards for industrial 5G [1] - The deep integration of 5G and industry is recognized as a core engine driving the global digital, networked, and intelligent transformation of industries [1] - The standard focuses on the basic architecture, working mechanisms, and maintenance management of 5G networks in industrial applications, providing various use cases for the integration of 5G in industrial environments [1] - It offers a unified technical specification for the entire lifecycle of 5G industrial wireless communication systems, from planning and design to construction and optimization, benefiting users, design units, and equipment manufacturers [1] Industry Impact - The release of this standard marks a milestone achievement for China in the "5G + Industry" integration application field, contributing Chinese wisdom and solutions to the global manufacturing industry's digital transformation [2]

Group 1 - The company signed a strategic cooperation memorandum with the Ministry of Industry and Mineral Resources of Saudi Arabia on September 26, 2025, focusing on deep collaboration in the field of industrial digital transformation and smart manufacturing [1] - The cooperation aims to enhance industrial production efficiency, product quality, and competitiveness, as well as to develop industrial supply chains and attract industrial investment and related technologies [1] - The Ministry of Industry and Mineral Resources is responsible for managing Saudi Arabia's industrial and mining sectors, including issuing regulations and encouraging investment in these areas [1] Group 2 - The company entered into a cooperation framework agreement with iFlytek to provide AI and robotics ecosystem development for the Saudi smart manufacturing project [2] - The collaboration includes building a smart robot training ground and pilot center, establishing an AI industry platform, and exploring applications of robotic super brain technology [2] - The partnership will also focus on AI and smart industrial application scenarios, as well as empowering the ecosystem and exploring AI and industrial office product applications [2]