9月24日，阿里巴巴集团CEO吴泳铭在云栖大会上，明确阐述了AI时代下阿里云的核心战略路径：第 一，通义千问坚定开源开放路线，致力于打造"AI时代的Android"；其二，构建作为"下一代计算机"的 超级AI云，为全球提供智能算力网络。为支撑这一宏大愿景，吴泳铭表示，阿里巴巴正在积极推进三 年3800亿的AI基础设施建设计划，并将会持续追加更大的投入。 阿里不仅勾勒出AI产业的发展蓝图，更让产业链上下游企业迎来确定性机遇。其中，作为全球ICT基础 设施龙头的联想集团，携"全栈AI"亮相2025云栖大会，展示了涵盖AI终端、AI基础设施再到AI解决方 案及服务的全场景算力产品、方案和服务。凭借与阿里在算力底座、端云协同、生态共建等领域的深度 绑定，联想将成为此次战略布局中最具受益潜力的企业之一。 联想服务器业务迎"超级订单周期" 阿里云栖大会明确提出，未来三年将投入3800亿元用于AI基础设施建设，目标实现2032年全球数据中 心能耗较2022年提升10倍，重点聚焦GPU集群、液冷技术及全栈软硬协同。这一"算力扩张计划"直接打 开了服务器市场的增长空间，而联想早已凭借技术积累和合作优势占据先机。 AI PC与智 ...

本报讯 （记者矫月）8月26日，联想集团有限公司（以下简称"联想"）宣布旗下中小企业IT采购平台 ——联想企业购全面升级：从传统一站式IT采购平台蜕变为一站式智能IT服务平台。依托全栈AI的产 品、解决方案与服务，联想企业购推出超值普惠权益、全周期成长赋能和创新服务体验三大升级，以更 优惠的采购、更丰富的权益以及更智能的服务体验，全面助力中小企业抓住AI带来的智能化变革机 遇，快速实现业务增长。 联想副总裁、中小企业客户业务群总经理王忠表示，以AI技术加速自身增长已经成为中小企业未来突 围的关键，联想从中小企业发展而来，已携手数百万中小企业走过风雨30多年，更懂中小企业的需求和 痛点。此次企业购"三位一体"式的升级，绝非简单的产品促销，而是构建了"成本优化-能力建设-场景落 地"的完整价值闭环，让中小企业能够更轻松地驶入增长快车道。 当前，中小企业普遍对IT采购的成本抱有顾虑，并希望用最小的成本撬动最大的技术价值。因此，联想 企业购特推出覆盖全产品线的权益政策，从采购到使用、从价格到服务全面让利，让中小企业以更低门 槛打造自身IT基础设施。 为彻底打破成本壁垒，平台同步推出力度空前的普惠政策：企业采购补贴最高 ...

Group 1 - The core viewpoint of the articles emphasizes China's leadership in AI technology and its unique "Chinese-style solution" that integrates rich application scenarios with large model technology iterations, reshaping the global AI industry landscape [2] - The "Chinese-style solution" is characterized by a complete closed loop of "technology research and development - scenario implementation - industry feedback," driven by scene demands to iterate technology and empower various industries through large-scale applications [2] - The upcoming "2025 AI Partner Conference" will focus on the deep integration of AI with the real economy, highlighting topics such as "Chinese-style innovation," "super intelligent agents," and the reshaping of global technology competition [2] Group 2 - AI "embodiment" requires breakthroughs in hardware, software, and computing power, with smart terminals and robotics being key areas for innovation [3] - Lenovo's launch of the Lenovo Baiying intelligent agent aims to assist small and medium-sized enterprises in embracing AI, providing a comprehensive intelligent service for marketing, office efficiency, and IT cost reduction [3] - The conference will feature discussions on the commercialization challenges of humanoid robots and the role of AI in enhancing industrial safety through intelligent perception and decision-making [4] Group 3 - The infrastructure needed to support the demands of full-domain intelligence includes optimizing computing power and data foundations, which are crucial for the implementation of AI technologies [5] - A roundtable discussion will explore the future driving forces of AI, focusing on the balance between software and hardware in the next hotspots of artificial intelligence [5] - The articles highlight the significant progress made in integrating AI with various industries, transforming it from a "show-off" technology to a "necessity" by aligning with industry scenarios [6] Group 4 - AI applications in human resources, healthcare, and marketing are discussed, showcasing how AI can enhance efficiency and innovation across these sectors [6] - The role of AI in carbon management and its contribution to achieving China's dual carbon goals is emphasized, indicating its importance in the context of global green development [7] - The articles also address the challenges and strategies for the commercialization of autonomous robots across different sectors, including retail and industrial applications [4][7] Group 5 - The balance between technological development, user experience, and commercial value in AI applications is a key discussion point, with a focus on how AI can redefine user experiences across industries [8] - The AI Partner initiative aims to create a platform for communication between AI application and scene providers, fostering innovation and addressing industry needs [8] - The articles conclude with a call to explore the new boundaries of the "Chinese-style solution" in AI, emphasizing the practical applications of technology in everyday life [8]

Core Viewpoint - The article emphasizes that China's AI industry is not only leading in technological innovation but also exploring unique commercialization models, termed "Chinese-style solutions," which are reshaping the global AI landscape [2][13]. Group 1: Chinese-style Solutions - The "Chinese-style solution" is characterized by a complete closed loop of "technology research and development - scene implementation - industry feedback," driven by scene demands to iterate technology and enable AI across various industries [2][13]. - The upcoming "2025 AI Partner Conference" will focus on topics such as "Chinese-style innovation," "super intelligent agents," and the integration of AI with various industries, highlighting the deep fusion of AI with the real economy [2][11]. Group 2: AI Embodiment and Infrastructure - AI embodiment requires breakthroughs in hardware, software, and computing power, with a focus on smart terminals and robotics as key areas for innovation [4]. - The development of AI infrastructure is crucial for supporting the demands of full-domain intelligence, with practices in computing resource scheduling and data foundation construction being shared [6]. Group 3: AI as a Necessity - AI is transitioning from a "show-off technology" to a "necessity" by integrating into core industry processes in sectors like enterprise services, healthcare, and environmental protection [8]. - The application of AI in human resources, medical services, and commercial content creation is being explored to enhance efficiency and innovation [8]. Group 4: Future Directions and Challenges - The commercialization of humanoid robots is still in its early stages, with discussions on overcoming challenges related to technology maturity and market acceptance [5]. - The role of AI in carbon management and the automotive finance industry is being examined, focusing on how AI can transform traditional models into more efficient ecosystems [9]. Group 5: Event Highlights - The "AI Partner" initiative has become a platform for communication between AI application and scene sectors, with plans to continue fostering AI innovation and collaboration among over 70 companies [11].

Group 1 - The WAIC conference showcased the "Hi! WAIC" AI assistant, enhancing attendee experience by providing curated information and real-time recommendations [1] - The year is referred to as the "Year of Intelligent Agents," indicating a significant development in AI applications across various sectors, including automotive and industrial [2][4] - Companies like Tencent and Ideal Auto demonstrated their AI capabilities, with intelligent agents facilitating tasks such as ordering coffee and managing payments through voice commands [2] Group 2 - Guangyi Mingdao presented its Geega Industrial AI Application Platform and Super Intelligent Agent, aimed at solving specific problems in manufacturing [3] - The application of intelligent agents in industrial settings focuses on cost reduction and efficiency improvement, exemplified by a case where production planning time was significantly reduced [4] - The rapid development of large AI models in China has enabled the practical implementation of intelligent agents across various industries [4] Group 3 - The intelligent agent landscape is evolving from "can it be used" to "how should it be used," indicating a shift towards more practical applications [5] - There is still room for improvement in areas such as task reliability, generalization, and ecosystem integration within the intelligent agent sector [5]

Group 1 - Lenovo showcased three major super intelligent systems: Tianxi Personal Super Intelligent System, Lexiang Enterprise Super Intelligent System, and City Super Intelligent System at WAIC2025, highlighting its full-stack AI technology achievements and practical applications in both personal and enterprise intelligence [1] - The Tianxi Personal Super Intelligent System serves as a new generation human-computer interaction interface, featuring five functions: AI control, AI search, AI translation, AI notes, and AI services, while ensuring data security and personal privacy protection [1] - The Lexiang Enterprise Super Intelligent System acts as a new official interface for employees, customers, partners, and the public, forming Lenovo's first "silicon-based team" alongside intelligent systems in marketing, sales, and service [1] Group 2 - The City Super Intelligent System, supported by the "1+N Intelligent System" architecture, demonstrated Smart City 4.0 applications, with strategic partnerships established in cities like Wuyishan, Yichang, Hongkou, and Hohhot, focusing on cultural tourism, energy management, smart transportation, and industrial intelligence [2] - Lenovo's intelligent system matrix also includes Baijing Intelligent System and Xiangbangbang Intelligent System, showcasing immersive AI scenarios in education and healthcare, with the latest version of Baijing Intelligent System and the launch of Baichuang Lab for IT operations, AI office, and AI marketing services [2] - A strategic cooperation signing ceremony between Lenovo and China Telecom was held, aiming to explore collaboration in areas such as basic communication, comprehensive information services, AI computing, international business, and joint expansion in government and enterprise clients [2]

Core Insights - The event focused on talent development in the AI era, highlighting opportunities and challenges in recruitment, training, and career advancement [2][3][26] Group 1: Event Overview - The AI talent salon held in Shenzhen attracted professionals and company representatives interested in AI, discussing industry trends and talent transformation [2][3] - The event featured various formats including keynote speeches, roundtable discussions, and product demonstrations, fostering an open platform for knowledge sharing [26] Group 2: Keynote Highlights - Yu Wenjun, CEO of Zhisheng Future, emphasized the importance of talent in driving industry development amidst rapid AI advancements [3] - Dr. Zheng Yizhe from Run Accelerator shared insights on resource integration and support for innovation-driven companies [5][6] Group 3: Expert Insights - Yang Yafei, CEO of Clack.AI, demonstrated how AI can facilitate product development, allowing creators to quickly iterate and validate ideas [9] - Gao Ying from Lenovo discussed the emergence of AIPC, transforming traditional roles into new cross-disciplinary positions, enhancing human-machine collaboration [11][12] - Yang Tong, founder of Kaiwei Technology, analyzed new trends in talent recruitment and training, stressing the necessity of AI skills for career survival [14] Group 4: Roundtable Discussion - The roundtable featured discussions on the opportunities and challenges in AI talent, with insights on the evolving job market and the skills required for AI product management [17][19] - Participants shared experiences and strategies for identifying potential AI talent and navigating the changing recruitment landscape [19][20] Group 5: Product Demonstrations - Clack.AI and Kaiwei Technology showcased their AI products, highlighting features such as automated report generation and data visualization [23][25] - The demonstrations provided attendees with a deeper understanding of practical AI applications in the workplace [25] Group 6: Future Outlook - The event concluded with positive feedback from participants, indicating a strong interest in ongoing discussions about AI's impact on career development [26] - The company plans to continue hosting similar events to promote collaboration and knowledge sharing in the AI talent development space [26]

Core Insights - The latest "Global CIO Report" by Lenovo and IDC indicates that global enterprise AI spending is expected to grow by 200% by 2025, highlighting a surge in AI application demand and market expansion [1] - Despite 92% of enterprises planning to increase AI investments over the next three years, only 1% believe they have achieved "mature deployment," with data privacy concerns and lack of scalable implementation capabilities being significant barriers [1] Group 1 - The challenge of scalable implementation is a core issue hindering AI application deployment, with traditional AI projects often taking months to implement, leading to a mismatch between technical investment and business needs [1] - Lenovo has introduced two innovative delivery models: Super Factory and AI as a Service (AaaS), aimed at addressing diverse industry needs and accelerating the application of intelligent agents [1][2] Group 2 - The Super Factory leverages hybrid AI advantages to provide standardized modules for rapid delivery, allowing clients to experience and customize intelligent agents online, significantly reducing deployment time by 80% compared to traditional AI projects [2] - AI as a Service encapsulates intelligent agents as a subscription-based service, enabling businesses to access AI functionalities without the need for complex system construction, thus promoting a lightweight and dynamic approach [2] - Lenovo has been leading the transformation of IT services towards AI services in China, with notable projects including the establishment of urban super intelligent agents and partnerships in the cultural tourism sector [2]

Group 1 - Lenovo collaborates with Tongyi Qianwen model Qwen3 to enhance its Baijing intelligent agent, achieving breakthroughs in IT operations and AI office fields [1] - Qwen3 is the first hybrid reasoning model in China, featuring advanced capabilities such as hybrid reasoning mode and multi-language support, significantly improving the Baijing intelligent agent [1] - The Baijing intelligent agent can now diagnose issues more accurately and handle faults more intelligently, thanks to Qwen3's reasoning and knowledge generalization capabilities [1] Group 2 - The Baijing intelligent agent will soon launch offline intelligent desktop operation and maintenance features, allowing for rapid anomaly detection and automatic repair even in complex network or offline environments [1] - The upcoming local model deployment feature for the Baijing intelligent agent enables enterprises to utilize local large models without relying on external networks, ensuring data security [1] - The integration of Baijing Copilot with Qwen3 enhances office efficiency through restructured document analysis and real-time translation in 119 languages, facilitating international business and cross-cultural communication [2] Group 3 - The introduction of a "deep thinking switch" allows users to toggle between lightweight interaction and deep reasoning modes, enhancing decision-making capabilities [2] - The deep integration of Baijing intelligent agent and Qwen3 provides efficient and secure intelligent services, supporting rapid digital transformation for enterprises [2]

Group 1 - The core viewpoint of the news is the deep integration of Qianwen 3 with Baiying Intelligent Agent, enhancing its model library and improving key capabilities such as language understanding and multi-turn reasoning [2][3] - Baiying Intelligent Agent has achieved technological evolution and experience upgrade in standardized AI service scenarios like IT operations and AI office, thanks to breakthroughs in reasoning and knowledge generalization capabilities of Qianwen 3 [3] - In IT operations, Baiying Intelligent Agent's local reasoning model has been upgraded, enabling more accurate problem diagnosis and intelligent fault handling, with upcoming offline intelligent desktop operation features to ensure 24/7 stability of enterprise IT systems [3] Group 2 - The Baiying Copilot office super intelligent agent will undergo a transformative upgrade through deep integration with Qianwen 3, significantly enhancing office efficiency by reconstructing core capabilities such as long document analysis and multilingual collaboration [4] - Qianwen 3 supports real-time translation for 119 languages and dialects, aiding enterprises in overseas business expansion and cross-cultural team communication, thus breaking language barriers and facilitating global collaboration [4] - Baiying is accelerating its layout in the light customization AI field, with the upcoming upgrade of BaiChuang Lab set to integrate Qianwen 3, which supports Model Context Protocol (MCP) and function calling capabilities [4]