【导读】中国平安聘任王晓航出任首席技术官，加速全面数字化进程 中国基金报记者 曹雯璟 7 月 29 日，中国平安宣布，聘任王晓航先生出任集团首席技术官（ CTO ）兼平安科技总经 理。据悉，王晓航此前担任蚂蚁集团副总裁、财富及保险事业群 CTO 等职务，负责领导数字 金融和 AI 创新。 中国平安聘任王晓航出任首席技术官 中国平安表示，王晓航的加入，有助于公司全面提升 AI 技术研发与应用水平，推动自研大模 型与大数据开源平台深度融合发展，加快建设 " 数字化经营、数字化运营、数字化管理、数 字化营销、数字化服务 " 五大体系，为进一步深化 " 综合金融 + 医疗养老 " 双轮并行、科 技驱动战略，实现全面数字化转型注入强劲动力。 根据简历，王晓航，毕业于新加坡国立大学，拥有计算机科学硕士学位。加入平安集团前， 王晓航曾在谷歌（美国）、彭博集团等国际知名企业担任高级技术经理。 2015 年，王晓航 出任百度首席架构师，推动打造百度钱包和金融业务。 2016 年，王晓航加盟蚂蚁集团，历任蚂蚁集团副总裁、财富及保险事业群 CTO 等职务，负 责领导数字金融和 AI 创新，管理包含财富、保险、消费金融、网商银行和芝 ...

今日（7月29日），中国平安宣布，聘任王晓航出任集团首席技术官（CTO）兼平安科技总经理。 王晓航，今年2月从蚂蚁集团副总裁、蚂蚁国际首席技术官任上离开，近期加盟平安集团，助力中国平安提升 AI技术研发与应用，实现全面数字化转型。 一直以来，中国平安对科技的投入不遗余力，持续推进"综合金融+医疗养老"双轮并行、科技驱动战略。截至 2024年底，中国平安拥有超2.1万名科技开发人员、超3000名科学家。 王晓航出任中国平安CTO 中国平安今日宣布，聘任王晓航出任集团首席技术官（CTO）兼平安科技总经理。 今年2月，王晓航从蚂蚁集团副总裁、蚂蚁国际首席技术官任上离开，他于2016年加盟蚂蚁集团，历任蚂蚁集 团副总裁、财富及保险事业群CTO等职务，负责领导数字金融和AI创新，管理包含财富、保险、消费金融、 网商银行和芝麻信用在内的技术和研究团队，曾推出AI金融管家、AI金融业务助手等领先的生成式AI产品。 加入蚂蚁集团之前，2015年王晓航出任百度首席架构师，推动打造百度钱包和金融业务，在此之前曾在谷歌 （美国）、彭博集团等国际知名企业担任高级技术经理。 据介绍，王晓航深耕"金融+科技"领域近20年，在金融业务数字 ...

Group 1 - Wang Xiaohang, former CTO of Ant Group, has joined Ping An Group as CTO and General Manager of Ping An Technology, aiming to enhance AI technology development and application within the company [1][2] - Ping An Group's strategy focuses on integrating self-developed large models and big data open-source platforms to accelerate digital transformation across five systems: digital operation, management, marketing, and services [1] - Wang Xiaohang's experience at Ant Group, where he led digital finance and AI innovation, aligns well with Ping An's digital strategy, despite the apparent industry shift from fintech to insurance [2][3] Group 2 - Ant Group underwent a significant organizational restructuring in December 2024, consolidating various departments into new business groups, including the "Digital Payment Business Group" and "Alipay Business Group" [2] - Wang Xiaohang's position was adjusted within Ant Group shortly before his departure, which may have been a contributing factor to his exit [2] - Wang Xiaohang has a strong technical background, having previously worked at Google and Bloomberg, and played a key role in developing Baidu Wallet and financial services [2]

Group 1 - The core point of the news is the appointment of Wang Xiaohang as the Chief Technology Officer (CTO) of Ping An Group, which is expected to enhance the company's AI technology development and application levels [1][2] - Wang Xiaohang has a strong background in technology, having previously worked at Google, Bloomberg, Baidu, and Ant Group, where he led significant AI and digital finance initiatives [1][2] - Ping An aims to integrate self-developed large models and open-source platforms to accelerate its digital transformation across various operational areas, including finance and healthcare [2] Group 2 - Ping An's Chairman, Ma Mingzhe, emphasized the importance of AI in the company's operations, projecting that AI service volumes will reach approximately 1.84 billion by 2024, covering 80% of customer service [3] - The company has a robust technology workforce, with over 21,000 technology developers and more than 3,000 scientists, and has achieved 45 championships in AI competitions and filed 55,435 patent applications as of March 31, 2025 [3] - Ping An's digital strategy is a top priority for 2025, focusing on the deep integration of AI, big data technologies, and open-source large models [3]

Core Insights - The article highlights the significant advancements in AI applications within the financial sector, emphasizing the shift from conceptual models to practical implementations, with keywords such as "landing," "trustworthy," and "embodied" being central to the discussions at the WAIC2025 [1][2]. AI Financial Applications Breakthroughs - The Shanghai Artificial Intelligence Finance Institute (SAIF) introduced the new Smith RM financial reasoning model, which effectively addresses hallucination issues in financial credit analysis, generating a 12,000-word credit report in 30 seconds with a hallucination rate of under 0.3%, a 97% reduction from the previous generation [3][4]. - The Agricultural Bank of China's Shanghai branch reported that the new system has assisted in approving 4.7 billion yuan in technology loans over three months, reducing the average approval time from 5.7 working days to 11 minutes [3]. Innovations in Customer Interaction - The "Xiao Jiao" embodied intelligent robot from the Bank of Communications can provide various services, enhancing customer experience and offering a new approach to intelligent financial services [5]. - Ant Group showcased the "Look and Pay" smart glasses payment solution, allowing users to complete transactions through voice commands and visual recognition, streamlining the payment process [6]. Challenges in AI Implementation - Despite the breakthroughs, the implementation of AI in finance faces challenges, as discussed in the "FinAI Artificial Intelligence Financial Leaders" roundtable. Experts emphasized that AI deployment is not merely a technical or management issue but a comprehensive integration of strategy and operations [9]. - The importance of collaboration between banks and fintech companies was highlighted, with the need for banks to embrace technology to remain competitive [9]. Future Financial Landscape - The discussion on how AI will reshape the financial landscape identified banks, tech companies, and regulatory bodies as the three main driving forces of financial innovation, with computing power being the core foundation [12]. - The potential of China's computing power in the financial sector was noted, with the country ranking second globally, despite existing challenges in chip technology [13]. Importance of Standards and Collaboration - The IEEE's efforts in developing AI standards were discussed, emphasizing the need for global cooperation and consensus in AI technology development to ensure ethical and socially responsible applications [14]. - The concept of data sovereignty and its implications for sustainable development was introduced, advocating for a new form of digital assets to promote sustainability in AI applications [14].

Core Insights - Ant Group's new CEO, Han Xinyi, emphasizes the company's focus on AI applications and the development of foundational AI models to enhance technical service capabilities [2][3][18] - The company has launched three major strategies: "Dual Flywheel," "AI First," and accelerated globalization, aiming to transform into a technology-driven and innovation-driven entity [2][3] - Ant Group's AI initiatives include the release of the Ling series of models, which feature significant advancements in multi-modal capabilities and cost-effective training methods [6][9][12] AI Strategy - Han Xinyi detailed Ant Group's AI strategy, focusing on application-side development rather than just foundational models, to ensure product-market fit (PMF) [3][18] - The company is committed to exploring Artificial General Intelligence (AGI) and enhancing its AI applications across various sectors [3][18] - Ant Group's AI applications include AI health managers, which have served over 40 million users, and are set to launch new versions with improved functionalities [14] Model Development - Ant Group's Ling Team has open-sourced two MoE architecture models, Ling-lite and Ling-plus, with parameter scales of 16.8 billion and 290 billion respectively, achieving industry-leading performance [6][12] - The latest model, Ming-lite-omni, integrates multi-modal understanding and generation capabilities, allowing for advanced real-time interactions across audio, video, images, and text [9][10] - The company aims to foster a collaborative environment through open-sourcing its models, encouraging innovation in AI applications [10][15] Industry Context - The competitive landscape for AI models is intensifying, with numerous tech giants rapidly iterating their models, highlighting the need for effective application of these technologies [16][17] - Ant Group's focus on application development positions it to leverage its existing resources and talent to remain competitive in the evolving AI market [18] - The company recognizes the importance of addressing real-world problems through AI, emphasizing the integration of AI with physical world applications such as autonomous driving [19]