对广大消费者而言，"数字金融"这一概念或许略显抽象，但若提到由此催生的各类金融服务——如数字 钱包、消费信贷、刷脸支付等，大家或许早已司空见惯。 如今，数字金融作为数字经济的核心支柱，正以空前的速度与深度重构金融体系，并日益成为推动经济 社会高质量发展的关键引擎。然而，创新与风险的博弈始终客观存在，金融是经营管理风险的行业，在 科技应用方面，其对稳定性、可靠性的需求可谓极高。在数字金融发展得如火如荼之际，数据安全风险 问题同样需要高度关注。 从金融安全的角度来看，核心金融数据一旦泄露，可能直接危及金融体系的稳定和公众利益。而此类风 险往往具有高度集中、跨行业传导迅速、技术手段隐蔽性强等突出特征。与此同时，中小金融机构普遍 存在安全防护能力薄弱、跨机构间权责边界不清等现实短板，这就进一步加剧了风险防控的复杂性，对 整个行业的安全治理体系构成挑战。 数字金融创新提速下，数据安全风险还存在哪些"死角"？金融机构应该如何应对数据安全风险？2025年 岁末之际，《每日经济新闻》记者就此采访了多位业内人士。 AI重构金融服务生态 近年来，推动数字金融高质量发展，已成为国家战略层面的重要部署。 在政策支持下，金融机构的数字 ...

如今，数字金融作为数字经济的核心支柱，正以空前的速度与深度重构金融体系，并日益成为推动经济 社会高质量发展的关键引擎。然而，创新与风险的博弈始终客观存在，金融是经营管理风险的行业，在 科技应用方面，其对稳定性、可靠性的需求可谓极高。在数字金融发展得如火如荼之际，数据安全风险 问题同样需要高度关注。 从金融安全的角度来看，核心金融数据一旦泄露，可能直接危及金融体系的稳定和公众利益。而此类风 险往往具有高度集中、跨行业传导迅速、技术手段隐蔽性强等突出特征。与此同时，中小金融机构普遍 存在安全防护能力薄弱、跨机构间权责边界不清等现实短板，这就进一步加剧了风险防控的复杂性，对 整个行业的安全治理体系构成挑战。 对广大消费者而言，"数字金融"这一概念或许略显抽象，但若提到由此催生的各类金融服务——如数字 钱包、消费信贷、刷脸支付等，大家或许早已司空见惯。 数字金融的高质量发展已成为国家战略层面的重要部署。党的二十届三中全会强调，加快构建促进数字 经济发展体制机制，完善促进数字产业化和产业数字化的政策体系，并对积极发展数字金融作出部署。 2023年10月召开的中央金融工作会议首次将数字金融写入中央文件，明确提出要大力发展 ...

对广大消费者而言，"数字金融"这一概念或许略显抽象，但若提到由此催生的各类金融服务——如数字 钱包、消费信贷、刷脸支付等，大家或许早已司空见惯。 如今，数字金融作为数字经济的核心支柱，正以空前的速度与深度重构金融体系，并日益成为推动经济 社会高质量发展的关键引擎。然而，创新与风险的博弈始终客观存在，金融是经营管理风险的行业，在 科技应用方面，其对稳定性、可靠性的需求可谓极高。在数字金融发展得如火如荼之际，数据安全风险 问题同样需要高度关注。 从金融安全的角度来看，核心金融数据一旦泄露，可能直接危及金融体系的稳定和公众利益。而此类风 险往往具有高度集中、跨行业传导迅速、技术手段隐蔽性强等突出特征。与此同时，中小金融机构普遍 存在安全防护能力薄弱、跨机构间权责边界不清等现实短板，这就进一步加剧了风险防控的复杂性，对 整个行业的安全治理体系构成挑战。 数字金融创新提速下，数据安全风险还存在哪些"死角"？金融机构应该如何应对数据安全风险？2025年 岁末之际，《每日经济新闻》记者就此采访了多位业内人士。 AI重构金融服务生态 近年来，推动数字金融高质量发展，已成为国家战略层面的重要部署。 在政策支持下，金融机构的数字 ...

12月10日，中国邮政储蓄银行（下称"邮储银行（601658）"）召开2025年数字金融大会暨手机银行11.0 发布会，以"开启数字邮储 i∞纪元"为主题，正式发布"AI2ALL"数字生态。 站在"十四五"规划收官与"十五五"谋篇的关键节点，邮储银行以一场技术与服务的变革，展示了国有大 行如何以科技创新驱动高质量发展。 在投产过程中，邮储银行创新采用了"新旧切换不停机，在线无感迁移"的模式，在业务不中断的情况 下，顺利完成了超6亿客户的迁移工作，这不仅保障了海量交易的稳定运行，更为我国银行业金融科技 关键技术自主可控提供了重要的实践样本。 今年7月，邮储银行自主研发的第三代资金业务核心系统首批业务功能正式上线，该系统实现了服务器 硬件设备、操作系统和数据库的完全国产化部署。 数据显示，基于自主研发的分布式技术平台，新系统负载峰值提升超10倍，单笔交易审批用时减少 97%，日终跑批时间缩短90%，这标志着邮储银行构筑起了金融核心级的全栈式自主可控能力。 邮储银行行长刘建军在大会上指出，对于银行业来说，技术始终是第一生产力，人工智能正在推动着传 统金融模式加速解构，全新服务范式全面涌现。此次发布的"AI2ALL" ...

邮储银行副行长牛新庄表示，"AI2ALL"数字生态的"2"，是AI能力延伸出的横轴和纵轴，一个代表"对 内全员提效"，另一个代表"对外全域触达"，也代表将AI能力融入服务的各个环节。当前，邮储银行基 于"AI2ALL"数字生态提出大模型应用场景近260项。 支撑这一生态的，是邮储银行在数据、算力、算法三大领域构筑的坚实底座。数据层面，其搭建五级数 据集架构，形成特色全域数据资产，实现全景可视与高质量供给；算力方面，建成AI算力资源池并启 动国内金融行业首个国产超节点智算集群建设；算法上，"外部引进+自主培育"并行，既接入百度"文心 一言"等前沿模型，又发布自主可控的"邮智"大模型，构建成熟AI能力体系。 中证报中证网讯(记者吴杨)12月10日，中国邮政储蓄银行以"开启数字邮储i∞纪元"为主题，举行2025年 数字金融大会暨手机银行11.0发布会。会上，该行首次发布"AI2ALL"数字生态。 邮储银行（601658）行长刘建军在致辞中表示，科技正在以前所未有的力度改变着时代前进的速度、金 融变革的深度、服务触达的广度。对于银行业来说，技术始终是第一生产力，人工智能正在推动着传统 金融模式加速解构，全新服务范式全 ...

Core Viewpoint - The implementation of personal consumption loan interest subsidy policies in China aims to lower consumer credit costs and stimulate domestic demand, with China Postal Savings Bank (Postal Bank) actively participating in this initiative to enhance consumer finance services and support economic recovery [1][8]. Group 1: Policy and Market Response - Recent structural monetary policies and financial support measures have been introduced to boost consumer credit, with a focus on sectors like home appliances, automotive, and healthcare [1][8]. - As of June 2025, Postal Bank's personal consumption loan balance exceeded 3.03 trillion yuan, marking a net increase of 369.81 billion yuan, positioning it among the top three listed banks in terms of consumer loans [1][2]. - The bank has launched a comprehensive action plan to enhance consumer finance services, which includes 20 specific measures aimed at supporting various consumer needs and boosting domestic demand [2][3]. Group 2: Technological Empowerment - Postal Bank has leveraged technology to improve operational efficiency and customer experience, implementing over 230 applications of large models across various business areas [5][6]. - The bank's intelligent external calling system has reached 8 million potential customers, effectively guiding 300 billion yuan in consumer credit towards essential sectors [6]. - A comprehensive anti-fraud model has been established, protecting over 100,000 accounts and preventing losses exceeding 800 million yuan [6][7]. Group 3: Future Development and Strategy - The bank plans to enhance customer acquisition capabilities through targeted strategies, including leveraging fiscal subsidy policies and cross-marketing within its existing customer base [9]. - By the end of 2025, Postal Bank aims to complete nationwide centralized review and approval processes for all consumer credit businesses, which is expected to improve customer experience and risk management [9].

Core Insights - The year 2025 is identified as a pivotal year for the large-scale implementation of AI in China's financial industry, transitioning from mere usage to creating real value [1][2] - Financial institutions are increasingly focusing on the collaboration between technology and business departments to achieve actual benefits and cost control, with "value" becoming a common consensus in the industry [2][3] AI Application in Finance - AI applications in finance have evolved from simple human assistance to intelligent agents capable of perception, learning, action, and decision-making, applicable in areas like market analysis, risk assessment, and wealth management [2][3] - The participation of business departments in AI development has significantly increased from 18% to 74%, indicating a shift towards practical applications of AI [3] Accelerated Implementation - Major banks are rapidly expanding AI applications, with examples such as ICBC's "Navi AI+" initiative introducing over 100 new AI application scenarios in key business areas [3] - Postal Savings Bank has developed over 230 AI model scenarios, showcasing the industry's commitment to integrating AI into their operations [3] Strategic Considerations - Financial institutions are beginning to systematically consider their AI strategies, aiming to become more agile and better manage light capital businesses [3] - There is a consensus that while AI can reshape business processes, it will take time to fully realize its potential, emphasizing the importance of building a robust AI framework in the next 1-2 years [3] Data Utilization Challenges - Companies face challenges in converting data resources into assets, with a need to bridge the gap between data, technology, and algorithms to support decision-making [4][5] - The concept of insight platforms is proposed to activate approximately 70% of "sleeping" data, transforming it into valuable resources for AI model training [4] Security and Trust Issues - The application of domestic AI models in finance is transitioning from isolated breakthroughs to ecosystem reconstruction, but issues like algorithm bias and privacy breaches remain unresolved [6] - The financial sector requires high precision in decision-making, making the introduction of reinforcement learning technology crucial for enhancing decision accuracy [6][7] Uncertainty in AI Deployment - The introduction of AI brings new challenges, particularly regarding uncertainty in investment returns and business outcomes, necessitating innovation in strategic planning and organizational design [7]

Core Viewpoint - The banking sector is enhancing financial support for "three rural issues" and small micro enterprises, showing significant growth in credit supply and improving inclusive financial services in the first half of 2025 [1][2]. Group 1: Financial Support for "Three Rural Issues" - The banking industry is focusing on "three rural issues" as a key area for financial support, with the Agricultural Bank of China reporting a credit increase of 9,164 billion yuan in rural loans, surpassing 10 trillion yuan in total [2][3]. - The Agricultural Bank's "Huinong e-loan" product reached a balance of 1.79 trillion yuan, with a growth rate of 19.9%, while loans related to food security and agricultural products increased by 23.7% [2]. - The Agricultural Development Bank is also playing a crucial role, with a total of 11.76 billion yuan in loans for water conservation and agricultural infrastructure projects in the first half of the year [3]. Group 2: Support for Small Micro Enterprises - The balance of inclusive loans for small micro enterprises reached 35.99 trillion yuan, growing by 12.31% year-on-year, significantly outpacing the average loan growth rate [5][6]. - The Agricultural Bank has provided over 4 trillion yuan in loans to more than 270,000 small micro enterprises since the launch of the financing coordination mechanism [6][7]. - In Jiangsu province, small micro enterprise loans reached 9.6 trillion yuan, with a year-on-year growth of 16.7%, supported by a coordinated financing mechanism [7]. Group 3: Digital Transformation in Banking - The banking sector is leveraging digital technologies such as big data and artificial intelligence to enhance the efficiency of inclusive financial services, with the Construction Bank reporting a 9.80% increase in loans for small micro enterprises [8][9]. - Agricultural Bank is focusing on integrating online and offline services, improving risk control models, and enhancing operational efficiency through technology [9]. - The Postal Savings Bank is developing AI capabilities to optimize financial services, including a smart loan assistant that processes over 30,000 transactions daily [8][9].

Core Viewpoint - China Postal Savings Bank is actively seizing opportunities in the wave of digital transformation, enhancing its digital capabilities and leveraging technology to drive its operations forward [1] Digital Construction - The bank has upgraded its core systems, including personal, corporate, and credit card systems, and completed the third-generation core system for fund business [1] - The mobile banking platform has been fully adapted to the HarmonyOS, offering high-frequency services that require no installation and enabling quick transfers through gesture interaction and AI recognition [1] Data Value Release - The bank is building a unique data asset foundation, processing over 30 billion behavioral data transactions daily through more than 100,000 batch operations, enhancing its capabilities in intelligent outbound calls and fraud prevention [1] - In proactive credit granting, the bank utilizes a comprehensive data asset system to drive a new paradigm of intelligent outbound calls, reaching out to 1.3 million customers daily [1] - For fraud risk prevention, the bank has developed a full-chain anti-fraud model system, leveraging a vast real-time risk feature library to create a panoramic view of customer fraud risks [1] - The bank processes approximately 127 million transaction data daily for anti-money laundering, employing advanced technologies like knowledge graphs and large models to monitor suspicious transactions [1] AI Ecosystem Development - The bank's "Youzhi" large model integrates multiple mainstream models, optimizing performance through model distillation and enhancing multimodal capabilities [1] - A dedicated team has been formed to focus on AI development, creating a comprehensive plan that encompasses infrastructure, platform tools, service capabilities, and application scenarios [1] Future Development Plans - The bank has initiated the "15th Five-Year" IT planning process to outline its technological development blueprint, aiming to elevate its technological capabilities and contribute to high-quality financial development [1]

Group 1 - The 2025 China International Financial Expo was held in Shanghai, showcasing the integration of AI and financial technology, with institutions demonstrating their latest technological advancements and applications [2] - Financial institutions are leveraging AI financial models to enhance their digital transformation, creating stronger competitive barriers in the "finance + technology" sector [2] - The focus is on five key areas: technology finance, green finance, inclusive finance, pension finance, and digital finance, aiming for high-quality development in the financial industry [2] Group 2 - Bank of China presented its theme "Digital Innovation and Financial Integration," highlighting its efforts in digital transformation and global service ecosystem [3] - As of the end of Q1, Bank of China's technology finance loan balance increased by 570.2 billion yuan, with a total of 113,300 clients [5] - Postal Savings Bank emphasized building a digital intelligence advantage and showcased its innovations in the same five key areas as Bank of China [6][10] Group 3 - Traffic Bank focused on digital transformation and cross-border payment solutions, showcasing its blockchain ecosystem for shipping trade [11][15] - Beijing Bank introduced its AI digital employee "Jing Xiaobao," which enhances customer interaction and financial services [16][18] - Urumqi Bank displayed its innovations in the five key financial areas, particularly in cross-border finance [19][21] Group 4 - HSBC highlighted the increasing demand for the use of the renminbi in cross-border trade, emphasizing its potential to improve operational efficiency for Chinese enterprises [22][23] - Ant Group's Vice President discussed the integration of large models into core business processes of financial institutions, showcasing various application paths [24][26] - Qifu Technology presented its AI-driven credit super-intelligent system, aimed at enhancing banks' credit capabilities and operational efficiency [28][30] Group 5 - OceanBase showcased its distributed database technology, which is gaining traction among financial institutions for core system upgrades [31][35] - The company emphasized the need for a collaborative approach involving policy guidance, technology drive, and market demand for successful digital transformation in finance [32]