从银行业实践看，人工智能大模型广泛推动金融服务从"经验驱动"向"数据驱动"转型，如建设银 行"天眼"智能风控系统覆盖全行98%的零售信贷业务，信用卡欺诈损失率同比下降52%，印证了智能风 控对传统金融风险定价模型的优化升级。 从市场规模看，2024年我国智能投顾资产管理规模超190亿元。预计到"十五五"末，个性化资产配 置方案覆盖率将持续增加，反映出金融服务与创新需求的匹配度不断提升。 科技与金融的深度融合，是创新驱动发展的动力所在。作为联结资本与创新的纽带，科技金融体制 构建关系到我国高水平科技自立自强目标的实现。亟须以系统思维培育与创新驱动发展战略相匹配的金 融生态体系，推动"科技—产业—金融"良性循环。 我国科技金融服务体系已初步构建起政策支持、市场运作与监管引导协同发力的多元格局，科技金 融发展生态加速优化。在此进程中，以人工智能为代表的新一轮科技革命，通过技术赋能重构了金融业 态的运行逻辑与价值创造模式，形成了科技金融发展的"技术赋能—效率提升—生态优化"链条。 从资本市场领域看，技术赋能的效果同样显著。深交所与华为联合发布的证券行业法规大模型，提 升了信息披露质量与审核效率，利用技术手段有效破解了 ...

Core Insights - The integration of technology and finance is a driving force for innovation-driven development, essential for achieving high-level technological self-reliance in China [1] - The current financial ecosystem is evolving with a focus on creating a virtuous cycle among technology, industry, and finance, supported by a multi-faceted approach involving policy support, market operations, and regulatory guidance [1][2] Group 1: Technology-Driven Financial Innovations - The new wave of technological revolution, represented by artificial intelligence, is reshaping the operational logic and value creation models in the financial industry, forming a chain of "technology empowerment - efficiency enhancement - ecosystem optimization" [1] - AI-driven models, such as the "Tianyan" intelligent risk control system by China Construction Bank, have significantly improved financial services, evidenced by a 52% year-on-year reduction in credit card fraud loss rates [1] - The asset management scale of intelligent investment advisory services in China is expected to exceed 19 billion yuan by 2024, indicating a growing alignment between financial services and innovation demands [1] Group 2: Capital Market Enhancements - The collaboration between Shenzhen Stock Exchange and Huawei has led to the development of a regulatory model that improves information disclosure quality and audit efficiency, addressing information asymmetry in the capital market [2] - The traditional financial system's reliance on tangible asset collateral creates a mismatch with the characteristics of technology enterprises, which are often asset-light, high-risk, and long-cycle, leading to low financing accessibility for innovative firms [2] Group 3: Financing Service System Development - A multi-tiered financing service system is proposed, including innovative intellectual property financing models and the establishment of a national-level intellectual property assessment center [3] - The capital market is encouraged to undergo comprehensive reforms, with a focus on enhancing the identification of hard technology attributes and optimizing the listing review process [3] Group 4: Risk Mitigation Strategies - The development of innovative risk pricing tools and the establishment of risk compensation funds for technology enterprises are essential to enhance financing accessibility [4] - A systematic approach involving policy guidance, market operations, and regulatory support is necessary to optimize the technology finance ecosystem and ensure financial resources are directed towards innovation [4]

Core Insights - Shenzhen Stock Exchange and Huawei Technologies jointly launched a regulatory model based on Huawei's Pangu large model at the "2025 Exchange Technology Conference" [1][3] - The initiative aims to leverage AI technology to enhance the intelligent transformation of compliance services in the capital market [1] Group 1: Model Development - The regulatory model utilizes Huawei's Pangu Reasoner 38B as its core technology, integrating the Shenzhen Stock Exchange's regulatory knowledge system [3] - The model combines Huawei's proprietary fine-tuning technology and scenario-based training capabilities to create an accurate, efficient, and scalable intelligent regulatory service platform [3] Group 2: Future Collaboration - Huawei's Vice President and CEO of Digital Finance, Cao Chong, emphasized the collaboration's validation of the Pangu model's potential in vertical fields [3] - There are plans for ongoing innovation exploration with the Shenzhen Stock Exchange in areas such as issuance review and regulatory technology, aiming to build a smart compliance ecosystem [3]