Core Insights - The article discusses the integration of three major technological trends: Artificial Intelligence (AI), Embodied Intelligence, and Intelligent Driving, highlighting their interconnectedness and the underlying industry chains [2][3][20]. Group 1: Artificial Intelligence - AI is defined as the capability of machines to simulate human intelligence behaviors, including perception, thinking, learning, and decision-making. IDC predicts that by 2028, China's AI investment will exceed $100 billion, with a compound annual growth rate of 35.2% [7][8]. - The AI industry chain includes components such as AI chips, servers, sensors, machine learning frameworks, and data services, emphasizing the importance of chips as the core of the industry [9][8]. Group 2: Embodied Intelligence - Embodied Intelligence refers to intelligent agents with physical bodies that interact with the physical world, accumulating knowledge and skills through perception and control. Its applications span various sectors, including industrial manufacturing, healthcare, and education [13][14]. - The industry chain for Embodied Intelligence includes upstream core technology development, key components, system integrators, and downstream applications, showcasing a comprehensive view of the sector [14]. Group 3: Intelligent Driving - Intelligent Driving is described as an advanced driving technology that combines AI, autonomous driving, vehicle sensors, and internet technologies to enhance driving experiences. The ultimate goal is fully autonomous driving [17][18]. - The industry chain for Intelligent Driving encompasses core technology and hardware supply, system integration, and application scenarios, with significant representation from companies in the field during the upcoming expo [18][20]. Group 4: Event Overview - The 2025 China International Industrial Expo will feature three main exhibition areas focusing on "Secrets of Computing Power," "AI's Rebellion," and "Intelligent Driving Disassembly," showcasing advancements in semiconductor independence, AI-enabled industrial software, and digital transformation in manufacturing [24][23]. - The event will also host industry summits on topics like industrial internet and integrated circuits, aiming to empower high-quality development in the electronic information industry [24].

Core Insights - Huawei's Vice Chairman Xu Zhijun emphasized the importance of embracing the intelligent era and leading industry transformation during his speech at the Huawei Connect 2023 conference [1][3] Group 1: Characteristics of Intelligent Enterprises - Xu outlined six characteristics of enterprises in the intelligent era, known as the "Six As": Adaptive User Experience, Auto-Evolving Products, Autonomous Operation, Augmented Workforce, All-Connected Resources, and AI-Native Infrastructure [3][6] - Adaptive User Experience involves understanding user behavior and needs to provide tailored services [3] - Auto-Evolving Products are designed to learn and adapt autonomously, enhancing their capabilities over time [3][4] - Autonomous Operation refers to achieving high levels of self-governance in business processes, from planning to execution [4] - Augmented Workforce aims to equip employees with intelligent assistants to enhance productivity [5] - All-Connected Resources focus on digitizing all business entities and processes to improve data quality and availability [5] - AI-Native Infrastructure requires ICT systems to be built to support intelligent applications and ensure smart management [5][6] Group 2: Strategic Layout for Intelligent Transformation - Xu discussed Huawei's strategic approach to addressing challenges in the intelligent era through architectural innovation and comprehensive upgrades [8] - He highlighted the critical role of computing power as a driving force in the intelligent era, especially in light of international sanctions affecting China's AI chip sector [8] - Huawei aims to leverage system-level computing solutions, moving beyond single-processor capabilities to meet evolving demands [8] - The company promotes cloud services as a sustainable choice for enterprises lacking the capacity to build their own AI infrastructure [8][9] Group 3: Cloud Services and AI Model Training - Huawei Cloud has undergone a full-stack upgrade to facilitate easier access to AI computing power for enterprises [9] - The upgraded ModelArts service allows businesses to utilize mainstream foundational models with reduced technical barriers [9] - Huawei Cloud emphasizes security in AI model training and offers to defend clients against third-party intellectual property claims arising from generated content [9] Group 4: Intelligent Transformation in End Devices - Xu highlighted the trend of intelligent transformation in terminal devices, focusing on creating a seamless smart experience through the HarmonyOS [11] - He proposed that terminal AI should prioritize user experience over raw computing power, aligning product development with consumer needs [11][12] Group 5: Autonomous Driving and Ecosystem Development - Huawei has been exploring AI applications in telecommunications since 2018, aiming for fully autonomous network operations [15] - The company is advancing its ADS 3.0 version for autonomous driving, enhancing safety and user experience [15] - Huawei plans to invest significantly in ecosystem development over the next five years to drive growth in computing and terminal industries [15] Group 6: Ethical AI and Social Responsibility - Xu advocated for the responsible use of AI technology, emphasizing its role in enhancing work efficiency and quality of life [16] - He called for AI applications to focus on social welfare and environmental sustainability, ensuring equitable access to AI benefits [16]

出品 | 凤凰网财经《封面》 主持人丨张涛 制片人 | 李念雪 2024 年，中国新能源汽车市场渗透率首次突破 50% ，这意味着每卖出去两辆车，就有一辆是新能源，而智能化也无疑成为车企角逐的核心战场。 在这场浪潮中，华为乾崑用亮眼的成绩单，为行业注入了一剂强心针。 2025 年 4 月，执掌车 BU 一年多的 CEO 靳玉志带着 HUAWEI ADS 4 亮 相华为乾崑智能技术大会，期间，首次在凤凰网财经《封面》专访中完整阐述了华为乾崑的愿景 ——" 把智能带入每一辆车 " 。 这位在华为扎根 20 余年的 " 技术派 " 高管，身上带着鲜明的华为基因：务实、长期主义，忠于技术。也是技术的相通性，支撑了靳玉志从光产品 线到智能汽车赛道的丝滑转型，"我们只是进入汽车行业中智能化的部分，根基还是 ICT 技术，如果一定要说区别，那就在于过去更多面向 B 端， 现在增加了 C 端用户。" 公开年报显示， 2024 年华为研发投入达到 1797 亿元，约占全年收入的 20.8% 。靳玉志向《封面》透露，其中车 BU 的直接投入"已超大几百 亿"，面对是否有盈利压力的提问，他从容回应： " 华为乾崑一贯的战略就是帮助 ...

Core Viewpoint - The rapid development of intelligent driving technology has raised significant safety concerns, prompting Huawei QianKun to collaborate with 11 automotive companies to launch a safety initiative aimed at addressing industry issues and promoting healthy development in the intelligent driving sector [2][3][8]. Group 1: Industry Response - The frequent safety incidents related to intelligent driving, including a tragic accident resulting in the death of three young women, have intensified scrutiny on the safety of intelligent driving systems [3][9]. - The Ministry of Industry and Information Technology (MIIT) has mandated automotive manufacturers to conduct thorough testing and validation of driving assistance systems, emphasizing the need for accurate and honest marketing practices [3][9]. - Huawei QianKun's initiative is a proactive response to MIIT's call for improved safety standards and transparency in the intelligent driving industry [3][8]. Group 2: Safety Initiative Details - The safety initiative emphasizes four key areas: technology leadership, transparent marketing, user-centric approaches, and collaborative standard development [5][12]. - Huawei QianKun aims to establish a safety foundation that encompasses "full speed, all directions, all objectives, all weather, and all scenarios," enhancing the safety baseline for intelligent driving [5][8]. - The initiative includes plans for a "smart driving safety training camp" to educate users on the proper use of intelligent driving systems through simulated scenarios [14][15]. Group 3: Marketing and User Education - The initiative calls for the automotive industry to provide clear and accurate information regarding the capabilities and limitations of intelligent driving systems, addressing the issue of exaggerated marketing claims [9][11]. - Huawei QianKun is committed to ensuring that users understand the safety boundaries of intelligent driving systems, promoting a "human-vehicle co-driving" approach until full automation is achieved [12][14]. - The initiative aims to enhance user awareness and understanding of intelligent driving technology, ultimately improving safety outcomes [12][14]. Group 4: Standardization Efforts - The initiative advocates for the establishment of unified industry standards to improve the quality and safety of intelligent driving systems, addressing the current lack of consistency across the sector [15]. - Collaborative efforts among automotive manufacturers are essential to develop clear standards for sensor accuracy, decision-making algorithms, and system performance in various scenarios [15]. - By promoting standardization, the initiative seeks to elevate the overall safety baseline and foster a more reliable and trustworthy intelligent driving ecosystem [15].