8月25日，农业银行发布招标公告，针对企业微信AI（人工智能）质检能力建设项目进行招标采购。这仅是最近7天6 家银行发布的、涉及AI算力建设、大模型研发等内容的招标信息（含招标公告及公示，下同）之一，成为了银行业积 极布局AI的一个缩影。 与此同时，券商中国记者在华东地区调研时发现，不同类型的商业银行基于地域特点、客群结构及数字化基础，正形成 差异化的AI发展路径。 银行AI部署策略差异大 近日，农行、兴业银行、北京银行等多家银行相继发布与AI相关项目招标信息，覆盖大模型研发、算力基础设施建设、 智能质检及研发助手等多个重点方向。 其中，兴业银行正征集合作伙伴，拟基于行内数据训练金融大模型以提升研发效率；北京银行则公示了全栈国产化AI算 力平台建设的招标进展。此外，辽宁朝阳银行、河南农商行等机构亦积极推进信息化基础设施及智能研发助手项目，苏 州农商银行的AI运营项目已初步确定中标候选人。 券商中国记者走访发现，不同类型的银行对AI能力的部署策略存在差异。 "部分国有大型银行在金融垂类大模型的应用布局上相对保守。"蚂蚁数科金融AI产品总经理曹刚向券商中国记者表示， 国有大行在需求层面更偏向基础性应用，如基建搭建 ...

Core Viewpoint - Postal Savings Bank of China has launched the first AI trading robot in the market, named "Youxiaobao," which is designed for credit bond trading and represents a significant innovation in the investment banking sector [1] Group 1: AI Applications in Banking - Many banks are focusing their AI strategies on "AI+" to enhance various business processes, moving beyond single business empowerment to cover C-end users, B-end clients, and internal employees [1][2] - The AI applications in banks have matured in areas such as intelligent coding, marketing, customer service, risk control, compliance, and daily management [2] - Postal Savings Bank's "Youxiaobao" integrates intelligent pricing responses, comprehensive risk management, and transaction data statistics for bond trading [2] Group 2: Specific Bank Innovations - Industrial Bank has introduced "Xingxiaer," a bond trading robot that utilizes machine learning and advanced technologies to enhance trading efficiency [2] - China Merchants Bank's "Zhaoxiaocai" AI assistant can accurately identify customer intentions with a 95% response accuracy, facilitating complex financial product operations [3] - Construction Bank has launched a ChatBot version of its AI assistant "Bangde," which aims to transform customer service through a comprehensive AI-driven approach [5][6] Group 3: Human-AI Collaboration - A trend towards "human + digital intelligence" models is emerging, where banks aim to empower employees with intelligent tools while ensuring effective usage [4] - China Merchants Bank plans to accelerate the development of the "AI + finance" model to enhance mutual empowerment between humans and technology [4] Group 4: Humanoid Robots in Banking - The banking sector is exploring the application of humanoid robots for customer service, with some banks already testing these technologies in branches [7] - Construction Bank has established a training base for humanoid robots to assist with customer inquiries and service guidance [7] - Despite the potential, experts note that the widespread deployment of humanoid robots in banks faces challenges such as technological maturity, high costs, and regulatory issues [8]

近年来，随着人工智能、大数据和云计算等技术的快速发展，银行业也迎来了数智化转型的浪潮。 天眼查显示，截止到3月28日，已有包括中国银行、交通银行、招商银行、青岛银行、重庆农商行等在内的12家银行公布了2024年财报。 那么在过去的一年里，这些银行在数智化转型上取得了哪些新进展？ 柒财经注意到，从国有大行到股份制银行，从城商行到农商行，行业呈现出了"重投入、扩人才"的竞争态势，并聚焦产品端、业务端、流程端等 十分具体的场景进行数智化赋能实践。同时，不同梯队、不同类型的银行的转型路径，还表现出了显著差异。 从投入规模来看，虽然有增有减，但国有大行仍占据绝对优势。 其中，中国银行信息科技投入238.09亿元，占营业收入的3.76%，同比上升0.27个百分点；邮储银行在报告期内的信息科技投入为122.96亿元，同 比增长9.03%，占营业收入的3.53%。 相比较而言，中信银行的下滑幅度最大。但值得注意的是，2023年，中信银行刚刚成为继招商银行之后第二家科技投入超百亿的股份制银行，投 入达到121.53亿元，同比增加38.91%。 中小银行则逆势发力。重庆银行的科技投入总额为5.74亿元，同比增长达到20%；占营收 ...