钛媒体App 1月7日消息，美西时间1月6日-8日，钛媒体CES 2026「Talk to the World」系列论坛在拉斯维加斯举办。会上，西门子全球执行副总裁、西门子中 国董事长、总裁兼首席执行官肖松博士表示，AI不会完全代替人，但能挖掘人的更大价值；工业AI是块难啃的硬骨头，却能带来生产力的跃迁。中国凭借 制造业的广度、产业链的深度和对新事物的积极态度，加上场景开放的政策支持，有条件在工业AI应用上跑在前面。而数字孪生与AI的深度融合，正让虚 拟世界驱动现实生产，从设计到运维形成高效闭环，成为工业AI落地的关键基石。 （CES 2026） ...

Core Insights - Siemens will focus on the industrial AI revolution during its keynote at CES 2026, exploring how AI reshapes various operational aspects from design to execution [1] - A significant highlight will be the dialogue between Siemens CEO Roland Busch and NVIDIA CEO Jensen Huang, discussing the next phase of industrial AI development and the responsible scaling of smart technologies [1] Group 1 - The keynote will feature discussions with various industry leaders, including Microsoft and PepsiCo executives, on the integration of AI technologies and operational transformations [2] - The event is scheduled for January 6, 2026, at 8:30 AM PST at the Venetian Hotel [2] - Siemens will collaborate with Amazon Web Services (AWS) to set up a joint live broadcast space at the Las Vegas Convention Center, inviting industry leaders to share insights on the implementation of industrial AI [2]

Group 1 - The company is a direct supplier to Tesla, focusing on robotics, industrial AI, industrial AR/VR, Industry 4.0, and smart manufacturing [2] - The company plans to invest up to 9 billion yuan in cloud computing services, integrating optical chips, cloud computing, big data, artificial intelligence, and smart storage [2] - The company's products have been utilized in major global sporting events such as the Qatar World Cup and the Paris Olympics, emphasizing its involvement in virtual reality, MiniLED, artificial intelligence, and ultra-high-definition video [2]

Core Insights - The WISE 2025 Business Conference will take place on November 27-28, 2023, in Beijing, focusing on the intersection of technology and business in the evolving landscape of 2025 [2][3] - The conference aims to explore how Chinese brands and technology are making a significant impact globally, emphasizing the unique opportunities within the Chinese market [2] Group 1: Conference Themes - The conference will feature a new format using "tech short dramas" to illustrate how disruptive innovations are reshaping Chinese business [2] - Key topics include AI, international expansion, and branding, with discussions led by industry experts and entrepreneurs [2][3] Group 2: Notable Speakers and Topics - 36Kr CEO Feng Dagang will open the conference, discussing the role of hardware as a medium connecting people to the world, with insights from Insta360 founder Liu Jingkang [3] - Beijing University Assistant Professor Wang He will address how embodied AI models are transforming robotics from labor replacement to intelligent assistants [7] - BGI Group CEO Yin Ye will explore the potential of life sciences in the context of AI advancements, questioning if humans can "design life" [10] - Zhongkong founder Chu Jian will present on the FAOP system, aimed at solving challenges in process industries through industrial AI [13] - Yonghui Supermarket CEO Wang Shoucheng will discuss how quality retail can drive national consumption amidst changing consumer behaviors [16] Group 3: Industry Innovations - The conference will include discussions on the implications of AI in logistics and the automotive finance sector, highlighting the shift towards autonomous decision-making and collaborative ecosystems [65][67] - The event will also feature a deep dive into the future of AI in various sectors, including logistics and automotive finance, emphasizing the need for collaborative and open-source approaches to drive innovation [67][75]

Group 1 - The new five-year development blueprint from China emphasizes the importance of new quality productivity, artificial intelligence, and renewable energy, which multinational companies see as significant market opportunities [1][2] - Siemens' global executive vice president highlighted that industrial AI will be a core engine for promoting new industrialization in China over the next five years [1][2] - Dow Chemical showcased nearly 100 cutting-edge technologies and products at the China International Import Expo, indicating a strong commitment to the Chinese market and its evolving demands for high-performance materials [2][3] Group 2 - The concept of "green low-carbon" has become a key focus, reflecting China's commitment to high-quality development and sustainable practices [3][4] - Danfoss has launched multiple significant projects in China, including a carbon-neutral factory and a new application development center, demonstrating confidence in China's green transformation [3][4] - The "14th Five-Year Plan" is seen as a critical period for China to achieve its dual carbon goals, presenting strategic opportunities for companies like Danfoss [3][4] Group 3 - The "14th Five-Year Plan" includes specific measures to expand high-level openness and promote trade innovation, signaling China's commitment to cooperation and mutual benefit [5] - Heraeus Group's CEO expressed confidence in China's economic resilience and the importance of open cooperation for the company's growth in the Chinese market [5]

Core Insights - The eighth China International Import Expo and the Hongqiao International Economic Forum highlighted the importance of open cooperation and technological innovation in enhancing global supply chain resilience and driving high-quality development in the artificial intelligence industry [2][5]. Group 1: Open Cooperation and Global Supply Chain Resilience - The current global landscape is marked by geopolitical risks and trade protectionism, necessitating open cooperation as a critical path for maintaining economic growth and stability [2]. - Representatives from China's State-owned Assets Supervision and Administration Commission (SASAC) and the Ministry of Commerce emphasized the need for international collaboration to stabilize supply chains, with SASAC noting that central enterprises have over 8,000 institutions and projects in more than 180 countries [3]. - The Ministry of Commerce aims to create a more resilient and vibrant global supply chain by optimizing the business environment and leveraging the Import Expo platform [3]. Group 2: Technological Innovation and AI Development - Technological innovation is seen as a powerful engine for high-quality development, with artificial intelligence reshaping industry dynamics and serving as a core driver for social progress [5]. - Experts discussed the governance challenges of AI, emphasizing the need for measurable indicators and a distributed governance model that involves multiple stakeholders rather than relying solely on government oversight [6]. - Breakthroughs in technology, such as nanogenerators, are providing sustainable energy sources for AI applications, enhancing its capabilities in various fields [7]. Group 3: Future Perspectives and Collaborative Vision - The discussions underscored the necessity of combining open cooperation with technological innovation to address global challenges and opportunities, with AI's development requiring a supportive international environment [8][10]. - Industry representatives highlighted the transformative potential of AI in sectors like agriculture and healthcare, advocating for continuous learning and skill enhancement among the workforce to adapt to evolving job requirements [9]. - A collective call was made for governments, international organizations, and businesses to work together to maintain a stable international economic landscape and promote responsible AI development [10].

Group 1 - The 19th International Economic Advisory Council meeting in Chongqing focused on "building an AI application hub to empower high-quality industrial development" with representatives from 21 global Fortune 500 companies [1] - A total of 71 forward-looking suggestions were made, primarily in three areas: constructing a systematic AI application mechanism, enhancing talent recruitment and training, and deepening open cooperation [1] - Companies like Signify and Hitachi Energy expressed intentions to deepen investment cooperation, with Hitachi's CEO emphasizing the need for stable power supply to unlock AI's potential [1] Group 2 - Carlsberg has invested over 20 billion yuan in China, with more than 10 billion yuan in Chongqing, and is leveraging its global "AI+" experience in its local operations [2] - Carlsberg's executive vice president proposed the establishment of an "AI+ agriculture and food" innovation platform, advocating for government-led initiatives to enhance international standards and support AI applications across various business processes [2] - The proposal includes creating a tiered talent cultivation system leveraging local educational resources to support the "AI+ agriculture and food" sector [2] Group 3 - Siemens has been involved in Chongqing's industrialization since 1925 and is a long-standing advisor in the International Economic Advisory Council [3] - Siemens' executive vice president highlighted the transition of industrial AI from "technology heat" to "application depth," aligning with Chongqing's robust manufacturing base and the new "industrial brain + future factory" model [3] - The focus is on promoting applications, nurturing talent, and building ecosystems to fully realize the potential of "manufacturing + AI" in Chongqing [3]

Core Insights - The Ministry of Industry and Information Technology in China is set to introduce a special action plan for "Artificial Intelligence + Manufacturing," focusing on high-quality development and intelligent transformation in key industries [1][3] - The global industrial AI market is projected to grow from $43.6 billion in 2024 to $154 billion by 2030, with a compound annual growth rate of 23% [1][3] Group 1: Industrial AI Transformation - Industrial AI is no longer viewed merely as a cost-cutting tool but as a transformative force that fundamentally rewrites the logic of manufacturing [3][6] - The integration of AI is shifting the manufacturing paradigm from linear division of labor to intelligent networks, enhancing flexibility and responsiveness [7][8] Group 2: Strategic Importance of AI - AI has transitioned from being a peripheral IT project to a central strategic focus for CEOs in large manufacturing firms [6][7] - Companies like Toyota are investing significantly in AI-driven factories, emphasizing human-machine collaboration and real-time problem-solving capabilities [6] Group 3: Supply Chain and Collaboration - Industrial AI is reshaping supply chains into intelligent collaborative networks, allowing real-time sharing of resources and dynamic adjustments to supply and demand [9][10] - The emergence of self-organizing ecosystems driven by AI is replacing traditional rigid protocols, enabling faster and more efficient responses to market changes [9] Group 4: Value Creation and Business Models - The focus of value creation in manufacturing is shifting from hardware and products to data, algorithms, and intelligent services [13][14] - New business models are emerging, such as "smart products as a service," which foster long-term, dynamic relationships between manufacturers and customers [14][15] Group 5: Challenges and Considerations - While AI offers significant potential, it is not universally applicable and has limitations in certain manufacturing scenarios [19][20] - Data governance and quality are critical for the successful implementation of AI, as poor data can lead to unreliable models and increased risks [20][21]

Core Viewpoint - The "Guideline for the Construction of the Standard System for the Artificial Intelligence Industry in Jiangsu Province (2025 Edition)" has been officially released, aiming to promote high-quality development of the AI industry in Jiangsu Province [1][5]. Group 1: Purpose and Framework - The release of the Guideline aims to implement the national AI strategy and Jiangsu's "1650" modern industrial system plan, emphasizing the foundational and leading role of standards in the high-quality development of the AI industry [5]. - The Guideline aligns with national standards while complementing them by adopting international and national standards for widely applicable basic standards and creating local standards for areas not yet covered by national standards [5][6]. Group 2: Development Goals - By 2027, the Guideline sets a target to lead or participate in the formulation of over 20 international, national, and industry standards, and to establish over 50 local and group standards, with at least 20 standards serving 16 advanced manufacturing clusters [5][6]. - The aim is to achieve an application coverage rate of over 85% for key industry chain standards and to establish at least 30 national and provincial standardization pilot projects [5]. Group 3: Industry Participation - The Guideline lists 60 key standard development directions, including areas such as large models, industrial AI, smart chips, new energy battery testing, medical imaging analysis, and generative AI safety and ethics governance, allowing companies to directly participate in standard formulation [6]. - It emphasizes balancing technological innovation with risk prevention by defining a "safety runway" through standards rather than creating barriers, ensuring ethical and safety requirements are integrated into the R&D and application processes [6]. Group 4: Regional Advantages - Jiangsu Province has shown rapid development in the AI industry, with distinct regional characteristics that contribute to a complete AI industry chain, providing valuable application scenarios for technology validation and commercialization [6]. - The province boasts numerous universities and top research institutions, positioning it among the leading regions in core AI technologies nationally and internationally, supported by a strong industrial application foundation and educational resources [6]. Group 5: Future Planning and Evaluation - The Jiangsu AI Standardization Committee will regularly evaluate the Guideline and revise it based on technological advancements and industry needs to ensure its relevance and applicability [7]. - Future plans include deepening the integration of international, national, and provincial AI standard resources and tracking industry trends to enhance the layout of standards in cutting-edge fields [7].

Core Viewpoint - The strategic cooperation agreement between Yunding Technology and Zhongkong Technology marks a significant advancement in their collaboration within the industrial intelligence sector, focusing on the mining and chemical industries. Group 1: Strategic Cooperation - The agreement emphasizes "complementary advantages, resource integration, information sharing, and collaborative development" as the pathways for cooperation [3] - Key areas of focus include the application of chemical large models, domestic innovation, joint tackling of critical technologies, and market collaboration [3] - The partnership aims to create leading intelligent solutions across all scenarios, facilitating the large-scale implementation of time-series large models in the coal chemical industry [3] Group 2: Industry Impact - The signing of the agreement is seen as a milestone in deepening industrial intelligence efforts and a new starting point for promoting digital upgrades in the chemical industry [3] - The collaboration is expected to foster intelligent upgrades and green low-carbon development in traditional industries like mining and chemicals [3] - The establishment of the "Industrial AI Data Alliance" during the signing event aims to build a credible ecosystem for industrial data, addressing industry challenges related to data utilization and collaboration [4] Group 3: Company Profiles - Zhongkong Technology is a leading enterprise in the global process industry, focusing on "industrial data as the foundation and AI large models as the core," driving innovation through technology and model advancements [6] - The company serves over 37,000 clients across more than 50 countries, contributing significantly to the high-quality development of the global process industry [6] - Yunding Technology, founded in 1993, specializes in information technology services and industrial intelligence applications, particularly in the mining sector, offering comprehensive intelligent solutions [6]