Core Insights - The automotive industry is undergoing a significant transformation driven by digital technologies and artificial intelligence, focusing on electrification, intelligence, connectivity, and sharing [1][2] - A recent forum highlighted the consensus among industry leaders on the need for collaboration to elevate China's automotive industry within the global value chain [2] Group 1: AI and Digital Transformation - AI is reshaping production relationships and lifestyles across various industries, with an estimated economic impact of $22.3 trillion by 2030, accounting for 3.7% of global GDP [3] - Huawei aims to enhance service capabilities through "AI for Service" and create conditions for agile innovation in new business applications [3][4] - The automotive sector is transitioning from "mobile machinery" to "mobile computing centers," necessitating a complete reconstruction of production relationships and business models [4] Group 2: Challenges in Digital Transformation - The automotive industry faces three major challenges: restructuring ICT technology architecture, transforming ICT operation systems, and upgrading ICT personnel skills [5][6] - The demand for computing power is growing exponentially due to the need for processing large amounts of data in intelligent driving [6] - Data security and ethical standards are critical challenges, with the automotive sector generating terabytes of user behavior and vehicle condition data daily [7] - There is a significant talent gap in the industry, requiring professionals who understand both automotive engineering and AI algorithms [8] Group 3: Collaborative Solutions - The forum reached a consensus on the need for practical collaboration to establish data circulation rules and build shared platforms for data flow [8] - Huawei has already provided services to over 8,000 manufacturing enterprises in China, helping automotive companies achieve their goals through comprehensive solutions [9] - The transition to digitalization is essential for survival, driving the shift from linear supply chains to networked ecosystems, with new business models emerging rapidly [9]

近日，"数云原力2025.AlxFinTech拓界平行论坛"正式举行。论坛以"问道AI科技进阶"为主题，多位业务专家围绕AI赋能智慧核心、信贷创新、财资云服务、 电子渠道进化及数据资产转化等前沿议题，为金融业数智化转型与高质量发展提供可落地方案。 为破解区域性银行转型难题，中国信息通信研究院在本次论坛期间发起"区域性银行新一代核心系统研究课题"，旨在形成兼具落地性与可推广性的建设范 式，全面提升区域性银行核心竞争力，推动技术标准与行业实践深度融合。 数据作为核心生产要素，其治理与价值转化成为论坛焦点。神州信息数据研究中心总经理李庆刚指出，数据资产化需以高质量供给为基石，依托复合人工智 能、智能问数等技术打通"数据—知识—业务"链路。结合研究公司Gartner发布的2025年数据趋势，他提出九大关键方向，凸显"数据治理"作为数据资产化的 核心使能力量。系统阐述了人工智能与数据治理深度融合的实践路径，通过构建复合AI构建知识库、加速AI智能体落地业务场景，推动数据编织驱动研发 智能化三大路径，打通数据闭环，构建企业级数字孪生体，实现数据驱动的精准决策。 面对商业银行利差持续收窄的挑战，神州信息资产负债管理解决方案 ...