Group 1: Core Themes of the AI Conference - The 2025 World Artificial Intelligence Conference was held in Shanghai, focusing on "Intelligent Era and Global Cooperation" [1] - The conference included high-level meetings on AI governance and international cooperation forums on AI standardization [1] - A governance practice guide for AI-enabled industry applications was released, highlighting the need for responsible innovation in AI [1] Group 2: International Standards and Regulations - The international community is accelerating the establishment of a "technology-standard-regulation" integrated governance system for AI in industrial applications [2] - Major international standard organizations are collaborating to address the fragmentation of standards and promote AI development [2][3] - The EU's AI Act introduces a risk-based regulatory framework for AI systems, categorizing them into different risk levels [4] Group 3: Key Standards and Guidelines - Various foundational standards have been developed under ISO/IEC JTC 1, including guidelines on AI concepts, management systems, and risk management [3] - IEC is focusing on standardization in industrial automation and smart manufacturing, with specific standards addressing predictive maintenance and AI safety [3] - ITU initiatives aim to promote ethical AI and develop standards across multiple sectors, including smart cities and healthcare [3] Group 4: AI Application in Industry - Germany's integration of AI with Industry 4.0 emphasizes the creation of interconnected and autonomous production systems [7] - Companies like Bosch and Siemens are leveraging AI to enhance manufacturing efficiency and optimize complex industrial systems [7][8] - The U.S. is prioritizing AI in manufacturing, with companies like GE using AI to improve reliability and efficiency in production processes [8] Group 5: Future Trends in AI and Industry - The convergence of AI with industrial internet, 5G, and digital twins is accelerating in the manufacturing sector [9] - The EU's AI Act emphasizes the importance of standardization in regulatory compliance for high-risk AI systems [9] - AI is transitioning from experimental phases to practical applications in industrial environments, enhancing efficiency and sustainability [9] Group 6: Governance and Development Strategies - The global AI landscape is evolving, necessitating a governance approach that aligns with national conditions and international standards [14][17] - Recommendations for China's AI development include focusing on practical applications, enhancing industrial innovation, and establishing a robust governance framework [16][17] - International collaboration is essential for aligning development strategies and standards, preventing market fragmentation [17]

Core Viewpoint - Siemens is at the forefront of integrating AI into industrial processes, exemplified by its Industrial Copilot and Industrial Foundation Model, which enhance automation and efficiency in manufacturing environments [9][30][65]. Group 1: Historical Context and Development - The journey of Siemens in industrial AI began in 1964 with the creation of the Zuse Graphomat Z64, marking the start of computer-generated art and the long evolution towards AI in industry [2][4]. - Over the past 60 years, Siemens has transformed its Erlangen factory into a hub for over 100 AI applications, utilizing digital twin technology to mirror real-world processes [6][9]. Group 2: Industrial Copilot and AI Integration - The Industrial Copilot acts as a bridge between human language and machine operations, allowing users to issue natural language commands that the system translates into actionable tasks [10][18]. - This system significantly improves efficiency, enabling engineers to generate automation code quickly, reducing development time by nearly 50% and deployment time by 30% [14][15]. Group 3: Industrial Foundation Model (IFM) - The Industrial Foundation Model is a collection of models rooted in 150PB of validated industrial data, designed to understand and operate within the constraints of industrial environments [24][28]. - Unlike general-purpose AI models, the IFM is tailored to comprehend machine language and industrial logic, making it suitable for complex manufacturing processes [25][28]. Group 4: Data and Knowledge as Competitive Advantages - Siemens possesses a unique data asset of 150PB, which spans various stages of product design and manufacturing, providing a competitive edge in AI model training [34][36]. - The company’s extensive experience and industry know-how are critical in navigating the complexities of data collection, cleaning, and model deployment in industrial settings [40][41]. Group 5: Strategic Moves and Future Outlook - Recent strategic actions include the acquisition of Altair for over $10 billion, enhancing Siemens' capabilities in industrial simulation and AI-driven optimization [67]. - Siemens is also focusing on reskilling its workforce to ensure that employees can effectively collaborate with AI technologies, emphasizing the importance of cultural acceptance of AI in industrial environments [62][65].

Group 1: Event Overview - The WAIC 2025 World Artificial Intelligence Conference will be held from July 26 to 28, 2025, at the Shanghai Expo Center, with related exhibitions from July 26 to 29 at the Shanghai Expo Exhibition Hall [1] - The conference will focus on the transformation and upgrading of new industrialization, emphasizing the integration of AI in various sectors [3] Group 2: Key Forums and Topics - Seven important forums will be set up under the new industrialization section, discussing core directions such as intelligent manufacturing, physical intelligence, and industrial ecological innovation [3] - Key topics include the deep integration of AI with high-end manufacturing, digital collaboration among SCO member countries, and the application of AI in the development of China's new generation of intelligent shipbuilding [3][4] Group 3: Industry Participation and Innovations - The event will gather top scientists and industry leaders to promote AI+ manufacturing policies and showcase achievements in key industries such as integrated circuits, shipbuilding, aerospace, and high-end equipment [4] - Notable companies like Siemens and Schneider Electric will present innovative solutions, including Siemens' Industrial Copilot platform and Schneider's Eco Struxure edge intelligence box [18][21] Group 4: AI Applications and Case Studies - The forums will also focus on AI applications across various industries, including shipbuilding, aerospace, railways, and automotive, highlighting cross-disciplinary development directions [5][6] - The event aims to promote the sharing of AI-enabled marine innovation practices and advocate for the establishment of a trusted data space for intelligent ships [5] Group 5: Exhibition Highlights - The exhibition area will exceed 70,000 square meters, featuring over 70 industrial chain exhibits from 37 companies, covering the entire ecological chain from industrial foundation to application [16] - The event will showcase cutting-edge technologies and products, including AI-driven solutions for industrial scenarios and innovative robotics platforms [19][20]

以下文章来源于虎嗅智库服务 ，作者冀玉洁 虎嗅智库服务 . 虎嗅智库是聚焦企业数字化、AI创新实践的新型研究服务机构。 出品｜虎嗅智库 作者｜冀玉洁 头图丨西门子 当身处成都高新区西门子工厂车间，在全自动化生产线上，几乎看不到多少操作工， 只有少数工人在生产线后，操作鼠标、键盘，发出指令。 这是西门子在中国的首座数字化工厂，也是WEF评选的数字化和可持续"双灯塔"工 厂。这座"灯塔工厂"已经部署了近 100 个 AI 项目，应用在了质量检测、垃圾处理等 多个场景中。 成都工厂并非孤例。在西门子的南京工厂、安贝格、埃尔兰根工厂，有数百台机器人 穿梭其中，还有成千个不同的AI应用落地。 西门子早在20世纪70年代就已经开始布局AI领域，深度参与研究交互式、自动、自 然语言问答系统，这比今天的很多人工智能公司成立时间都要早。2003年，西门子 创造性地用神经网络帮助企业进行技术优化。 2010 年代起，西门子破译了AI在工业 场景应用的复杂"密码"，加速AI落地千行百业 ：在汽车领域，西门子帮助北京奔驰 将AI与专家经验相结合，实现预测性维护；在光伏领域，西门子将AI与物联网技术 相结合，实现了贯穿光伏电站全生命周 ...

合抱之木，生于毫末。 对如今工业界而言，旧秩序正在关税阴影下遭受冲击，但新秩序正在酝酿激荡，只是当一部分人沉迷于清算过去时，更多人则渴望未来。 一个多月前，我们曾报道了第77届汉诺威工业博览会，并认为这是政治火药味儿最浓的一届汉诺威了，但我们同样欣慰地看到，不管是欧洲人、 加拿大人还是中国人，都想来展会上寻求合作和破解关税问题之策，因为这里，依然力图用技术对话超越政治壁垒。 早在17世纪，德国哲学家莱布尼茨便说："中国人应当与欧洲人交换礼物，互相取长补短，用一盏明灯点燃另一盏明灯。" 他说：我们的相遇和交流意义重大，它会孕育千万美好成果、千万发明创造。 5月14日—5月15日，吴老师将带领企业家走进西门子位于成都的"双料"灯塔工厂，与西门子全球执行副总裁、西门子中国董事长肖松博士等嘉宾 进行一场深度对话。 点击图片▲立即了解 文 / 巴九灵（微信公众号：吴晓波频道） 所谓双料，是指成都数字化工厂不仅是入选世界经济论坛第一批灯塔工厂，随后又获得了"可持续灯塔工厂"称号。 中德制造智慧与产业经验的碰撞虽不是新鲜事，但在当下却有着非凡的意义。 有兴趣的话，可以点击按钮，加入这场"与未来的对话"。 点击按钮 ▼立即报 ...

当身处成都高新区西门子工厂车间，在全自动化生产线上，几乎看不到多少操作工，只有少数工人在生产线后，操作鼠标、键盘，发出指令。 出品｜虎嗅智库 作者｜冀玉洁 头图丨西门子 这是西门子在中国的首座数字化工厂，也是WEF评选的数字化和可持续"双灯塔"工厂。这座"灯塔工厂"已经部署了近 100 个 AI 项目，应用在了质量检测、 垃圾处理等多个场景中。 成都工厂并非孤例。在西门子的南京工厂、安贝格、埃尔兰根工厂，都有数百台机器人穿梭其中，还有成千个不同的AI应用落地。 西门子早在20世纪70年代就已经开始布局AI领域，深度参与研究交互式、自动、自然语言问答系统，这比今天的很多人工智能公司成立时间都要早。2003 年，西门子创造性地用神经网络帮助企业进行技术优化。2010 年代起，西门子破译了AI在工业场景应用的复杂"密码"，加速AI落地千行百业：在汽车领 域，西门子帮助北京奔驰将AI与专家经验相结合，实现预测性维护；在光伏领域，西门子将AI与物联网技术相结合，实现了贯穿光伏电站全生命周期的智 能化运维管理…… 2022年之后，生成式AI得到空前关注，西门子也在探索如何将其落地工业场景。去年在汉诺威工博会上，西门子正式 ...