作为平安集团对外金融科技输出的唯一窗口，金融壹账通正以SaaS化模式将平安在AI、大数据、智能 风控等领域的领先成果向行业与生态输出。在平安集团"AI in all"战略指引下，金融壹账通持续推动数 据要素价值化、智能化、产业化转化，为金融机构和生态伙伴提供智能风控、智能营销、智能客服等全 链路解决方案。 未来，金融壹账通将继续发挥科技输出窗口作用，携手平安生态、行业共同探索数据要素驱动的智能金 融新模式，助力金融业高质量发展，为服务实体经济、助力新质生产力、提升金融风险防控能力贡献平 安力量！ 编辑：焦若涵 防控风险是保险业永恒的主题，保险的本质是经营风险。"数字化风控项目"立足保险风控场景，聚 焦"数据整合难、流通难、应用难"等行业痛点，构建了行业首个"数据-风控-生态"的数字化风控体系。 依托平安集团强大的数据底座与分布式计算能力，该项目构建了覆盖保单、赔案、车辆、气象、灾害等 十大高质量数据库，总数据量超过PB级；融合了370+权威数据源，形成行业首个合规数据融合模式与 理赔知识工程体系，数据标准达到DCMM五级水平。 在智能化方面，该项目构建了保险垂域大模型与知识工程体系，基于万亿保险语料和亿级理赔 ...

本报讯 （记者袁传玺）近日，国家数据局公布2025年"数据要素×"大赛全国总决赛获奖项目名单，由金 融壹账通、平安产险、平安科技、深圳市大湾区金融研究院联合申报的《基于数据要素驱动的保险风控 服务项目》（以下简称"数字化风控项目"或"该项目"）从全国2.2万个参赛项目中脱颖而出，荣获全国 金融服务赛道总决赛二等奖，实现了历史性突破。 防控风险是保险业永恒的主题，保险的本质是经营风险。"数字化风控项目"立足保险风控场景，聚 焦"数据整合难、流通难、应用难"等行业痛点，构建了行业首个"数据-风控-生态"的数字化风控体系。 依托平安集团强大的数据底座与分布式计算能力，该项目构建了覆盖保单、赔案、车辆、气象、灾害等 十大高质量数据库，总数据量超过PB级；融合了370+权威数据源，形成行业首个合规数据融合模式与 理赔知识工程体系，数据标准达到DCMM五级水平。 此次获奖不仅是平安集团科技创新与生态协同的集中展示，更是平安集团在以数据要素驱动智能金融发 展的系统实力写照。平安长期深耕数据与AI能力建设，沉淀超过30万亿字节数据，覆盖近2.5亿个人客 户；基于海量数据（603138）训练大模型，积累3.2万亿高质量文本语料 ...

Group 1 - The 2025 "Data Element ×" competition awarded projects in various sectors, with notable recognition for financial services, highlighting the importance of data-driven innovations in the industry [1] - The competition featured over 22,000 entries across 13 industry tracks, emphasizing the growing significance of data in sectors like industrial manufacturing and modern agriculture [1] - The first prize in the financial services category focused on enhancing public data to improve credit among government, banks, and enterprises, while many second-place projects involved collaboration among financial institutions [1] Group 2 - The digital risk control project by Financial One Account, Ping An Property & Casualty, Ping An Technology, and Shenzhen Greater Bay Area Financial Research Institute utilizes a comprehensive data foundation, integrating over 370 authoritative data sources and exceeding PB-level data volume [2] - The project has been implemented in various scenarios such as claims risk control, risk pricing, and fraud detection, collaborating with over 20 insurance institutions [2] - Ping An Group has accumulated over 30 trillion bytes of data, covering nearly 250 million individual customers, and has developed large models based on this extensive data [2] Group 3 - AI has significantly enhanced Ping An's core operations, achieving a 89% automation rate for car insurance issuance and a 63% automation rate for personal injury claims [3] - In the first three quarters of 2025, AI service volume exceeded 1.292 billion instances, covering 80% of the group's total customer service interactions [3] - Financial One Account serves as the sole window for Ping An's financial technology output, leveraging its advancements in AI, big data, and intelligent risk control through a SaaS model [3]