2025"人工智能+"大会举行，以场景驱动点燃新质生产力 中新网北京11月17日电 (记者 夏宾)11月15日至17日，以"AI下一个十年：场景驱动×新质引擎"为主题的 2025"人工智能+"大会在北京中关村国际创新中心举行。众多行业专家、头部企业和创业者、投资人代 表出席，共绘"人工智能+"未来发展新图景。 本次大会由国家高新区人工智能产业协同创新网络、中央广播电视总台《赢在AI+》节目组、清华大学 可持续社会价值研究院、中国人民大学交叉科学研究院、赛迪研究院人工智能研究中心、中关村发展集 团联合主办。 来源：中国新闻网 编辑：熊思怡 广告等商务合作，请点击这里 本文为转载内容，授权事宜请联系原著作权人 大会发布的《AI中国方案》，结合智慧能源、智能装备、空间智能等领域的产业实践案例，生动展现 了"以场景需求驱动技术创新，以技术创新反哺产业升级"的特色路径。《智启新未来："人工智能+"发 展五大趋势洞察》提出，全球人工智能发展开始进入技术加速进化、能力集中涌现、应用加快普及、创 新群体突破交织叠加的时期。 圆桌对话环节进一步深化了技术趋势的探讨。来自智谱华章、面壁智能、范式联合、阶跃星辰、星海 图、思必驰、 ...

Core Viewpoint - The article discusses Bosch's strategic approach to the transformation of commercial vehicles in China, emphasizing the importance of local innovation and global integration in response to the electric and intelligent vehicle revolution driven by China's dual carbon strategy and evolving emission standards [2][4]. Group 1: Bosch's Strategy and Market Position - Bosch is committed to deepening its presence in the Chinese market while leveraging global resources to support local brands in expanding internationally [4]. - The company has established a dual strategy of "local deepening + global layout," focusing on local R&D and manufacturing capabilities to create tailored solutions for specific market needs [4]. Group 2: Transition to Market-Driven New Energy Commercial Vehicles - The penetration rate of new energy commercial vehicles in China has surpassed 30%, indicating a shift from policy-driven to market-driven growth [6]. - By 2025, the penetration rate of electric heavy-duty commercial vehicles is expected to reach 18%, with the traction vehicle segment exceeding 30% [6][7]. - Bosch anticipates that by 2030, the overall penetration rate of new energy commercial vehicles will exceed 50%, driven by strong market demand and economic benefits [7]. Group 3: Scene-Driven Solutions - Bosch is developing highly scenario-based solutions for new energy commercial vehicles, addressing diverse technical requirements for different transportation scenarios [8]. - The company focuses on three core areas: diversified power and energy management, chassis motion intelligence, and driver assistance, with three development goals: extreme safety, extreme energy efficiency, and intelligent comfort [8]. Group 4: Technological Innovations - Bosch's modular electric drive axle represents a significant innovation, allowing for flexible design and rapid adaptation to various vehicle requirements [15]. - The electric drive axle system has been developed specifically for the Chinese market, achieving significant weight reduction and efficiency improvements [15]. - Bosch's solutions have demonstrated energy savings of 5%-10% compared to industry benchmarks, with further improvements expected [11]. Group 5: Industry Collaboration and Value Creation - The transformation of commercial vehicles requires collaboration across the industry chain, with a focus on creating value for customers and the industry as a whole [17]. - Bosch aims to empower users through innovative and efficient products that prioritize safety, energy savings, and comfort [17].

在金融服务领域，客户对智能化、个性化、便捷化服务的需求日益增长，传统服务模式在效率、覆盖范 围和用户体验等方面面临挑战。例如，在银行网点闲置窗口多、高柜人工窗口少、客户常常要排长队， 甚至需要在不同业务区域间来回折腾；导致用户体验非常差，软硬件、线上线下（300959）衔接断层不 连贯，在远程服务中，缺乏实体交互的亲切感和高效引导。 本报讯 （记者金婉霞）近日，华为技术有限公司（以下简称"华为"）与北京科蓝软件（300663）系统 股份有限公司（以下简称"科蓝软件"）联合举办了"领航智慧金融-鸿蒙联合创新解决方案"启动仪式暨 鸿蒙智能机器人"小蓝"及鸿蒙智能网点整体解决方案推介会，既展示了华为鸿蒙生态在智能机器人领域 的又一实践，也是彰显科蓝软件"场景驱动"理念在科技创新与产业应用中的价值。 针对该痛点，华为与科蓝软件以金融服务场景为出发点，将鸿蒙智能机器人"小蓝"的核心应用场景精准 定义为：直接代替/接替高柜人工柜员、全维度立体化构建银行网点智能服务、智慧厅堂以及特定业务 流程的自动化全流程无缝处理等。通过深入理解这些场景下的用户行为、业务流程和服务诉求，"小 蓝"被赋予了与之匹配的核心能力，旨在成为金融机 ...

Core Insights - The article discusses the unique consumption characteristics of Generation Z and how brands can effectively engage with this demographic through cultural and emotional connections [1][4][15]. Group 1: Understanding Generation Z - Generation Z is characterized by a strong desire for authenticity and emotional resonance in brand interactions, moving beyond superficial cultural symbols [4][5]. - They exhibit a "cultural ark" mentality, balancing global perspectives with local cultural revival, leading to a pragmatic approach to consumption [15][16]. - The shift in brand perception among Generation Z has transformed brands from distant symbols of authority to interactive communities that require genuine engagement [18][19]. Group 2: Brand Engagement Strategies - Brands must conduct "immersive insights" rather than traditional surveys to understand the deeper emotional needs of Generation Z [13][14]. - Successful digital marketing strategies should connect traditional cultural elements with modern values, creating a dialogue that resonates with the spiritual needs of young consumers [5][12]. - Brands should focus on creating meaningful experiences that allow Generation Z to express their identities and values, rather than merely providing products [20][21]. Group 3: Cultural and Emotional Value - The integration of digital design with traditional crafts can transform niche products into everyday items that resonate with Generation Z's emotional and social needs [20][26]. - Brands should avoid superficial interpretations of environmental art and digital creativity, instead focusing on creating meaningful connections within the youth's daily life [27][29]. - The concept of sustainability should be communicated through tangible experiences that highlight the impact of consumer behavior on the environment [30][32]. Group 4: Future Directions for Brands - Brands should prioritize creating immersive, social, meaningful, and engaging cultural consumption experiences for Generation Z [33]. - Future research should focus on the digital identity construction, narrative penetration in physical spaces, and the degree of participation in value co-creation among young consumers [35].

Group 1 - The 2025 Pujiang Innovation Forum on green low-carbon innovation was held on September 22, focusing on "scenario-driven green technology innovation" to accelerate the transition from research and development to industrialization and market application [1] - Shanghai has established 15 key application scenarios for green low-carbon transformation across seven major fields, including deep-sea wind power and new energy storage, and has launched several benchmark projects such as the first CCUS demonstration facility compatible with coal and gas emissions [1] - The forum announced multiple innovative pathways and cooperation plans for green technology transfer and transformation, covering artificial intelligence tools, international projects, and application scenarios [1] Group 2 - The green technology transfer AI assistant "Xiao Lv" was officially launched, developed by the Green Technology Bank and Tencent Carbon Neutral Innovation Center, featuring four core functions: technology profiling, supply-demand matching, expert pairing, and policy navigation [2] - A strategic cooperation agreement was signed between the Green Technology Bank, Shanghai Construction Science Research Institute, and Sheneng Insurance, creating a collaborative chain of "technology-construction-finance" through green insurance products and services [2] Group 3 - Geely Automobile shared its low-carbon transformation strategy, aiming for a 25% reduction in carbon emissions per vehicle lifecycle by 2025 and achieving carbon neutrality by 2045, focusing on a comprehensive green supply chain ecosystem [3] - Luxshare Precision announced its "Sustainable Development Roadmap," targeting carbon neutrality for its operations and value chain by 2050, with a strategy emphasizing energy conservation, renewable energy, and carbon offsetting [3]

Core Insights - The Chinese government is focusing on transforming the economy towards a high-income status, emphasizing the importance of consumption upgrades as a key driver for economic growth [1] - The consumption finance sector is evolving from a traditional single credit model to a diversified service system to meet various consumer financing needs [1][2] - Financial regulatory policies are supporting the growth of the consumption finance industry, while also presenting challenges such as increased market competition and consumer protection issues [2] Industry Development Opportunities and Challenges - Recent government reports highlight the need to boost consumption and investment efficiency, providing clear direction and support for the consumption finance sector [2] - The industry faces challenges including intensified competition and the need for enhanced consumer rights protection [2] Characteristics of the Second Half of Consumption Finance - Key competitive factors for consumption finance companies include asset quality, asset scale, compliance and brand reputation, and comprehensive costs [3] - The industry is under pressure from two main factors: customer base expansion into lower-tier markets and scenario-driven business models [5][6] Customer Base Expansion Pressures - The shift towards lower-tier markets is a necessary path for consumption finance growth as first and second-tier cities become saturated [5] - Increased competition from large internet platforms and banks is forcing consumption finance companies to target lower-tier customer segments [5][6] Scenario-Driven Business Pressures - The trend towards scenario-based consumption finance is evident, with a significant portion of transactions occurring in specific, immediate-use contexts [8][9] - The average loan amount has significantly decreased, necessitating a higher transaction volume to maintain asset scale [9][11] Digital Finance as a Key Driver - Digital finance is positioned as a foundational element for building a robust financial system, with a goal to align with the digital economy by 2027 [16] - The integration of digital finance capabilities is essential for enhancing risk control, consumer protection, and supporting high-frequency real-time transactions [18][21][23] System Function Iteration and Innovation - The need for rapid system function iteration is critical, with companies facing the challenge of balancing cost, quality, and time in system development [15][24] - Emphasizing a systematic approach to problem-solving and innovation is crucial for addressing the complexities of digital finance capability construction [26][27]

Group 1 - The core viewpoint is that the acceleration of marketization in the data element sector is supported by both policy and technological advancements, but the "lack of scenarios" remains a key bottleneck for industry development [1] - Industry experts at the 2025 China International Big Data Industry Expo emphasized that data itself is not an asset; it must be integrated into scenarios and solve real problems to be transformed into true value [1] - By creating replicable cases, promoting co-creation of technology and business, and building a secure and trustworthy environment, the value of existing data can be activated, leading to the emergence of new scenarios and business models [1] Group 2 - The future consensus is that "scenario-driven" approaches will transform data from "dormant resources" into "flowing value," which will genuinely support industrial upgrades and improve people's livelihoods [1]

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 core viewpoint of the news is that Zhengzhou has introduced a special policy to drive innovation in artificial intelligence (AI) through a scene-driven approach, aiming to establish itself as a national hub for AI development by 2027 [1][2][3] - The "Action Plan" sets specific goals, including the establishment of 10 innovation platforms and the creation of 20 deep integration application scenarios by the end of 2025, with the AI core industry and related industries expected to exceed 35 billion and 200 billion respectively [1] - By the end of 2027, Zhengzhou aims to develop a robust AI industry ecosystem characterized by active enterprise vitality, vibrant innovation clusters, and widespread application scenarios [1] Group 2 - Zhengzhou's focus on a scene-driven approach is based on its current strengths and development needs, as it ranks 24th in the national AI technology industry city competitiveness index, lagging behind cities like Wuhan and Hefei [3] - The city possesses rich talent and data resources, supported by a comprehensive manufacturing sector that includes 37 out of 41 industrial categories, providing ample development scenarios for AI [3][4] - The "Action Plan" emphasizes the importance of finding suitable application scenarios for AI technology, which is crucial for its maturity and market adoption [4] Group 3 - Zhengzhou is exploring the establishment of a cross-regional computing power network in collaboration with Gansu and Xinjiang, aiming to enhance its computing infrastructure [7] - The city is advancing its 5G network, currently ranking sixth in the nation with 41.34 5G base stations per 10,000 people, and is focused on building major projects like the national supercomputing center [7] - The "Action Plan" also includes initiatives for data governance and sharing, aiming to enhance public data utilization and support AI development [7] Group 4 - Zhengzhou can learn from successful models in other cities, such as Hefei's establishment of a market scene innovation promotion center, which has effectively served over 1,000 enterprises and identified more than 600 scene demands [8] - The city is encouraged to create specialized teams for scene innovation, similar to initiatives in Chengdu, to enhance collaboration across various sectors and drive industrial upgrades [8]

Group 1 - The core idea of the news is the successful collaboration between the Yangzhou Ecological Technology New City and a team of experts from top universities, which has led to significant advancements in local industry through technology transfer and talent cultivation [1][2] - The "talent + project + industry" three-dimensional linkage mechanism has facilitated over 10 university-enterprise cooperation projects and attracted more than 30 high-level talents, accelerating high-quality regional industrial development [1] - The collaboration has resulted in the establishment of a smart design system that enhances design efficiency by 30%, showcasing the effective application of academic research in practical industry settings [1] Group 2 - The team has engaged in the construction of five major specialized classes, creating a full-chain service mechanism from technology tackling to industrial landing, emphasizing the importance of transforming technological innovations into practical applications [2] - The establishment of a low-altitude economy joint laboratory and the intention to build a testing platform for integrated circuits highlight the focus on strategic emerging industries and the potential for incubating high-tech enterprises [1][2] - The introduction of a "scene-based talent recruitment" model and the establishment of a talent training base in collaboration with East China Aviation Valley demonstrate a commitment to aligning educational outcomes with industry needs, ensuring a seamless transition from education to employment [1][2]