她补充道："凭借统一的、由人工智能驱动的数字基础，百事公司正在构建一个未来世界：每一家工厂 和仓库都将作为一个单一智能生态系统的一部分运行。在这个未来，我们的设施不仅能够响应需求，还 能提前预测并适应需求。" 分析师们将这一宣布视为今年国际消费电子展上来自消费类公司的最大亮点之一。 值得注意的是，工业元宇宙环境将2D和3D数字孪生数据与实时运营信息相结合，使人工智能代理能够 提前识别多达90%的潜在问题，加速设计周期，并挖掘隐藏产能。 据报道，早期部署已实现20%的吞吐量增长，接近100%的设计验证，并通过在虚拟环境中验证投资， 而非通过传统、缓慢且成本更高的实体扩张，减少了10%至15%的资本支出。 百事公司拉丁美洲区首席执行官兼全球战略与转型官阿西娜.卡尼乌拉表示："我们正在部署首个数字蓝 图，重新构想供应链的设计、建设与扩展方式，这在业内尚属首次。" 百事公司(PEP.US)在国际消费电子展(CES)上宣布，该公司已与西门子和英伟达(NVDA.US)达成一项为 期多年的行业首创合作协议，旨在部署先进的人工智能技术和基于物理的数字孪生技术，以改造其制造 工厂和供应链运营。此次合作将从美国的试点工厂开始，并 ...

Group 1 - The core concept of the news is the integration of AI and digital twin technologies in manufacturing, exemplified by the virtual factory created by Mingqi Digital Technology, which has led to significant efficiency improvements [1] - The virtual factory has achieved over 30% savings in warehouse space and a 15% reduction in energy consumption, showcasing the tangible benefits of the industrial metaverse [1] - The "lean twin" model allows for simulation and optimization before physical factory construction, reducing trial and error costs [1] Group 2 - Lingran Intelligent Technology's AMP platform, integrated with the DeepSeek-R1 model, provides predictive maintenance and production scheduling for over 300 industrial enterprises [2] - The AI applications in Yantai Huangbohai New Area focus on specific industrial scenarios, addressing critical challenges rather than pursuing broad solutions [2] - Yantai Haishen Big Data Company utilizes AI to enhance material development, achieving a 90% accuracy rate in predicting optimal candidates from thousands of molecular structures [2] Group 3 - Guogong Intelligent Technology has developed a "chemical model" that significantly reduces the time required for catalyst research from one year to three months [3] - The GoCatal platform enables domestic companies to develop catalysts that match the performance of foreign products accumulated over 15 years within six months [3] - The concentration of AI companies in Yantai Huangbohai New Area is attributed to its strong industrial foundation and innovative ecosystem [3] Group 4 - The region benefits from robust computing power support through the Shandong Zhongjin Big Data Public Computing Center and the Wanhu Chemical Private Computing Center [4] - The "dual-zone dual-corridor" innovation plan and offshore incubation bases in cities like Shanghai and Shenzhen foster an open collaborative environment [4] - Yantai Huangbohai New Area secured all selected positions in the first batch of typical AI model application cases in Shandong Province, reflecting the vitality of its industrial ecosystem [4]

日前，走进位于山东省烟台黄渤海新区的泰和新材集团股份有限公司数智运营中心，一座与实体工厂同 脉动的"虚拟工厂"在大屏上清晰呈现。 这个由鸣启数字科技（山东）有限公司（以下简称"鸣启数字科技"）打造的工业元宇宙平台，刚荣获 2025年度山东省元宇宙创新"名品"认定，其作用不仅能让管理者对生产全局"了然于胸"，更带来了实打 实的效益：仓储面积节约超3成，能耗下降15%。 "我们的价值不止为现有工厂打造'数字双胞胎'，在实体工厂动工之前，'元宇宙工厂'就能先行模拟、验 证与优化，将试错成本尽可能地留在虚拟空间。"鸣启数字科技总经理介绍，这种创新的"精益孪生"模 式，正让元宇宙从炫酷的概念，落地为制造业提质增效的"新基建"。 如果说数字孪生技术为产业构建了高度仿真的"数字躯体"，那么AI算法与决策模型则为产业注入了会思 考、能决策的"智慧大脑"。 在环磁山国际科研走廊的创新园区内，凌然智能科技有限公司的核心产品AMP凌动管理平台已全面接 入DeepSeek-R1大模型，正为300余家工业企业用户提供更精准的设备预测性维护和更高效的生产排程 优化。同样以"智能决策"为核心竞争力的博诚经纬软件科技有限公司"AI+决策大脑 ...

Core Insights - The 2025 Industrial Software Innovation Development Conference was held in Zhuzhou, Hunan, focusing on the role of industrial software in digital transformation and enhancing supply chain security [1][2] - Industrial software is considered the "soul" of digital transformation in manufacturing, with 2025 marking a critical year for transitioning from "quantitative accumulation" to "qualitative leap" [1] - The integration of new information technologies such as industrial AI, industrial internet, and industrial metaverse is essential for optimizing industrial production and achieving customization [2] Group 1 - Zhang Li, President of the China Electronic Information Industry Development Research Institute, emphasized the importance of industrial software in the digital transformation of manufacturing [1] - Shen Changxiang, an academician of the Chinese Academy of Engineering, highlighted the challenges faced by AI and industrial robots in risk resistance, proposing a dual-architecture for a secure and trustworthy computing system [1] - The proposed security architecture aims for dynamic parallel protection without relying on traditional methods, ensuring unalterable audit records [1] Group 2 - Academician Chai Tianyou pointed out that traditional industrial software relies heavily on human experience, which limits overall optimization and efficiency in industrial production [2] - He proposed three principles for the development of industrial intelligence: problem-driven focus, system engineering approach, and mechanism innovation for long-term collaboration between research and application [2] - Wei Daisen, Vice President of Inspur Group, discussed the evolution of industrial software into a three-layer architecture, showcasing the successful implementation of a smart control model at Shandong Haohua Group, resulting in significant operational improvements [2] Group 3 - Huawei Technologies Co., Ltd. and Hunan University of Technology established a partnership to promote the integration of AI, HarmonyOS, industrial software, and smart campus development [3]

Group 1 - Shanghai plans to accelerate the integration of AI in manufacturing, aiming to implement smart applications in 3,000 manufacturing enterprises over three years [3][5] - The initiative includes the establishment of 10 industry benchmark models, 100 benchmark smart products, and 100 demonstration application scenarios [3][5] - The AI industry in Shanghai has seen significant growth, with a scale exceeding 270 billion yuan and a growth rate of over 30% in the first half of the year [3][4] Group 2 - Companies like Yikaida Technology are exploring the integration of AI with industrial automation, aiming to create standardized solutions for various manufacturing processes [4] - Shanghai General Welding Machine Co., Ltd. has developed an intelligent welding workstation that utilizes AI for enhanced precision in welding tasks [4][5] - The "one industry, one policy" approach is being adopted to tailor AI implementation strategies based on the specific needs of different sectors, such as electronics and automotive [5][6] Group 3 - The initiative emphasizes the deployment of industrial robots in high-risk and repetitive tasks to improve efficiency and safety in sectors like electronics and automotive [7] - Companies like Shanghai ZaiKe Intelligent Technology are leveraging AI to enhance the capabilities of industrial robots, thereby transforming production processes [7][8] - New products, such as the RuiKe MR73A and MR73B robots, have been launched, showcasing advancements in mobility and environmental adaptability [8]

Core Viewpoint - The company, Xiechuang Data, announced plans to purchase servers from multiple suppliers for a total amount not exceeding 4 billion yuan, which is essential for its cloud computing services and aligns with its business development needs [2][3]. Group 1: Transaction Details - The total amount of the procurement contract is expected to be no more than 4 billion yuan, which constitutes over 50% of the company's latest audited net assets and total assets [2]. - The board of directors has unanimously approved the asset purchase proposal, which will be submitted for shareholder approval [2]. - The transaction does not constitute a major asset restructuring or related party transaction [2]. Group 2: Business Impact - The servers purchased will primarily be used to provide cloud computing services, which are critical for AI computing infrastructure [3]. - The procurement is expected to significantly promote the company's main business development and provide necessary support for its continuous growth [3]. - The transaction price is deemed reasonable and fair, with no significant impact on the company's current or future financial status [3]. Group 3: Industry Context - According to IDC, the global server shipment volume is projected to reach 16.8 million units by 2025, with AI servers accounting for approximately 2.1 million units, representing 12.5% of the total [3]. - The company has established partnerships with leading firms like NVIDIA to enhance its capabilities in AI computing and cloud services [4]. - The company’s subsidiary, Ojia Software, has obtained NVIDIA's NCP certification, indicating its qualifications in AI computing leasing and cloud services [4].

Group 1 - The 2025 World Industrial Equipment and Materials Supply Chain Expo opened on October 16 in Foshan, focusing on the theme "Smart Chain Global, Empowering the Future" [2] - The expo features six core exhibition areas including industrial robots, smart machine tools, automation equipment, aluminum industry, pipe and plate materials, and air compressors, showcasing cutting-edge technology and leading products [2] - The event attracted hundreds of leading companies from both domestic and international markets, emphasizing the green and intelligent transformation of the industrial sector [2] Group 2 - The expo has established strategic partnerships with international brands, such as Guangdong Fuchi Technology collaborating with German companies like Mahr and Zeiss [2] - A significant number of buyers from the robotics, new materials, and high-end equipment manufacturing sectors attended the opening day, indicating strong market interest [4] - The introduction of a "Global Industrial Supply Chain Metaverse Cloud Platform" aims to enhance supply-demand matching efficiency by 40% using advanced technologies like virtual reality and big data [4]

Group 1: Company Performance - The company achieved a non-GAAP net profit growth of 89.64% in the first half of 2025, driven by a multi-dimensional operational strategy [3] - Revenue for the first half of 2025 reached 371 million yuan, representing a year-on-year increase of 13.60% [3] - The net profit attributable to shareholders was 71.73 million yuan, showing a year-on-year growth of 4.96% [3] Group 2: Business Strategy and Focus - The company is focusing on two main directions: quality energy asset management and resource utilization, particularly in precious metal recovery [3] - The establishment of a global "pollution reduction and carbon reduction headquarters R&D center" positions the company as a leader in core areas such as flue gas treatment and soil remediation [3] - The company is actively exploring new business growth areas, including the integration of AI and AR technologies in industrial applications [3][4] Group 3: Research and Development - R&D investment exceeded 20 million yuan in the first half of 2025, marking a year-on-year increase of 53.2% [4] - Key focus areas for R&D include core technology upgrades for pollution reduction and carbon neutrality, as well as green extraction of precious metals [4] Group 4: Shareholder Communication - The management emphasized that the pledge of shares by major shareholders is aimed at supporting the company's development and does not materially affect its operations or governance [2] - The management reassured investors that short-term stock price fluctuations do not fully reflect the company's fundamentals, and that creating profits is the best return for investors [2]

Group 1 - The core viewpoint of the article emphasizes the transformative impact of artificial intelligence (AI) on global industrialization and the need for new industrialization concepts to integrate emerging technologies [1][2] - The 2025 BRICS New Industrial Revolution Partnership Forum highlighted discussions on how AI can empower new industrialization and how BRICS countries can seize opportunities [1] - The President of the New Development Bank, Dilma Rousseff, stated that AI and other emerging technologies are fundamentally changing production, trade, innovation, and development methods, necessitating an upgrade in industrialization concepts [1][2] Group 2 - China is accelerating the promotion of new industrialization, with AI as a key driver, and has established a complete AI industry system, focusing on innovation and the "AI + manufacturing" initiative [1][2] - Research indicates that the proportion of Chinese industrial enterprises applying large models and intelligent agents is expected to rise from 9.6% in 2024 to 47.5% in 2025 [1] - China has maintained its position as the world's largest industrial robot market for 12 consecutive years, with over 7,000 advanced and more than 230 excellent smart factories established [1] Group 3 - Cross-industry integration driven by AI is becoming a trend, with advancements in embodied intelligence and world models enabling real-time, precise mapping of the real world [2] - The Chairman of China Mobile, Yang Jie, noted that AI is facilitating the deep integration of the digital and real worlds, leading to new business models such as digital twin factories and industrial metaverse laboratories [2] - Challenges remain, particularly for global South countries in key technologies and digital infrastructure, necessitating inclusive AI technology that bridges the digital divide [2] Group 4 - The Minister of Industry and Information Technology, Li Lecheng, emphasized the importance of keeping pace with technological changes and promoting interconnected digital infrastructure [3] - China established the China-BRICS AI Development and Cooperation Center last year, with plans to create an innovation-sharing platform to share mature large model tools and reduce technical barriers [3]

Core Viewpoint - The industrial tourism sector is rapidly evolving, transforming traditional industrial sites into attractive tourist destinations, driven by innovative experiences and government policies [1][2][3] Group 1: Industrial Tourism Development - Industrial tourism is reshaping the boundaries of traditional industries, with examples like Shanxi Lao Chen Vinegar Group attracting over 5 million visitors through a unique vinegar culture tourism park [1] - The Liu Zhou Luosifen Industrial Park has seen a 40% increase in visitor conversion rates and a 65% reduction in marketing costs through experiential marketing [1] - A total of 122 national-level industrial tourism demonstration bases and 232 industrial heritage tourism projects have emerged, supported by targeted policies [1] Group 2: Planning and Integration - The integration of tourism functions into industrial project planning can enhance visitor experiences by creating scenic production environments [2] - Encouragement for enterprises to develop unique projects such as industrial heritage museums and immersive product workshops is essential for transforming factories into tourist attractions [2] Group 3: Innovative Experiences - Utilizing digital and intelligent technologies to create engaging and educational tourism products is crucial for attracting visitors [3] - The development of high-immersion industrial cultural experience centers and projects that combine digital and physical elements can showcase industrial charm effectively [3] Group 4: Policy and Support Mechanisms - Implementation of differentiated and precise support policies, including financial incentives for innovative industrial tourism projects, is necessary to lower operational costs [3] - Encouraging professional tourism operators to participate in the planning and development of industrial tourism products can enhance market impact and operational efficiency [3]