2025年1至6月份，宇信科技的营业收入构成为：银行占比84.07%，其他占比9.14%，非银金融机构占比 6.79%。 每经AI快讯，宇信科技（SZ 300674，收盘价：21.85元）11月21日晚间发布公告称，公司股东宇琴鸿泰 减持公司股份约348万股，减持股份占公司总股份为0.49%。本次减持计划实施完毕。 每经头条（nbdtoutiao）——展望"十五五" | 专访黄群慧：既要重视AI赋能千行百业，也要考量其对就业 的替代效应和带来的收入极化 （记者 贾运可） 截至发稿，宇信科技市值为154亿元。 ...

证券代码：300674 证券简称：宇信科技 公告编号：2025-077 北京宇信科技集团股份有限公司 关于控股股东股份减持计划期限届满暨实施结果的公告 控股股东珠海宇琴鸿泰创业投资集团有限公司保证向本公司提供的信息真 实、准确和完整，不存在任何虚假记载、误导性陈述或者重大遗漏。 本公司及董事会全体人员保证公告内容与信息披露义务人提供的信息一致。 | 股东名称 | 本次计划实施前持股情况 | | 本次计划实施后持股情况 | | | --- | --- | --- | --- | --- | | | 数量（股） | 占总股本比例 | 数量（股） | 占总股本比例 | | 宇琴鸿泰 | 173,696,041 | 24.67% | 169,180,841 | 24.03% | 北京宇信科技集团股份有限公司（以下简称"公司"或"宇信科技"）于 2025 年 8 月 1 日在巨潮资讯网披露了《关于控股股东股份减持计划的提示性公 告》（公告编号：2025-059），公司控股股东珠海宇琴鸿泰创业投资集团有限公 司（以下简称"宇琴鸿泰"）因其自身资金需求，计划以集中竞价方式和大宗交 易方式合计减持公司股份不超过 10,560 ...

11月18日，第二十届中国经济论坛平行论坛——2025大湾区科技与金融创新发展大会在广州南沙隆重举 行。宇信科技"零售信贷（包括普惠和消费信贷）自营业务转型合作运营模式——区域性银行数字化普 惠金融新范式"凭借突出的创新性、显著的实践成效与广泛的行业示范意义，成功斩获"十四五"金融创 新优秀案例奖项。宇信科技数字金融产研融合业务部总经理李安东受邀出席大会并上台领奖。 作为国内科技与金融领域的重要交流平台，本次大会由证券时报社主办，汇聚了来自多个国家部委及广 东省领导、知名经济学家、科技金融企业代表等重量级嘉宾，共同探讨"十四五"后期科技与金融深度融 合的新路径、新模式。此次获奖，不仅是对宇信科技在金融科技领域技术实力与创新能力的权威认可， 更彰显了公司在助力区域性中小银行数字化转型、推动普惠金融落地方面的实践价值。 该项目的成功缘于在模式、风控、技术与体系四个维度的全面创新：1. 服务模式创新："联合运营+效 果付费"破解合作困局；2. 风控机制创新：量化风控与传统风控的有机融合；3. 科技应用创新：微服务 架构支撑全流程数字化；4. 体系协同创新：五大体系联动实现全域高效运营。 成效显著：数据印证价值，示范 ...

Investment Rating - The report suggests a positive investment outlook for the financial industry, highlighting its strong alignment with AI application and digital transformation needs [3][7]. Core Insights - The financial industry is identified as an ideal "testing ground" for AI applications due to its data-intensive nature and the increasing demand for digital transformation [1][7]. - The release of DeepSeek R1 in 2025 is anticipated to be a pivotal moment for local AI deployment in financial institutions, enhancing model reasoning capabilities and reducing costs [3][7]. - AI applications are rapidly penetrating core business areas and back-office functions within various financial institutions, with the potential to reshape business processes and organizational structures [3][7]. Summary by Sections Investment Recommendations - The report emphasizes the financial sector's need for digital transformation, which aligns well with the characteristics of large models in AI. It predicts a shift from "digital intelligence" to "artificial intelligence" in financial institutions [7]. - Key areas to focus on include: 1. Financial information services with relevant companies like Tonghuashun, Jiufang Zhitu Holdings, and Guiding Compass [8]. 2. Third-party payment services, particularly New大陆 and New国都, with related companies like Lakala [9]. 3. Bank IT, focusing on companies such as Yuxin Technology, Jingbeifang, and Guodian Yuntong [9]. 4. Securities IT, with a focus on companies like Hengsheng Electronics and Jinzhen Shares [10]. 5. Insurance IT, highlighting companies like Newzhisoft and Zhongke Soft [11]. Industry Drivers and Policy Support - The report discusses the strong internal and external drivers for AI application in finance, including the continuous expansion of IT spending by financial institutions and supportive government policies [14][25]. - The maturity of large model technology and its alignment with the financial industry's needs are emphasized, indicating a shift towards industry adaptation [14][18]. Technical Aspects - The report outlines two main technical paths for AI integration in finance: general models trained with financial data and specialized financial models [36]. - DeepSeek R1 is highlighted as a significant advancement in AI deployment for financial institutions, offering enhanced reasoning capabilities and cost efficiency [45][52]. - The report notes that the performance of DeepSeek R1 has improved significantly, with accuracy rates in complex reasoning tasks rising from 70% to 87.5% after updates [48]. Market Trends - The financial sector's technology investment is projected to grow significantly, with a total expected investment of 650 billion yuan by 2028, reflecting a compound annual growth rate of approximately 13.3% [25][31]. - The report indicates a notable increase in AI-related procurement projects within the financial sector, with 133 large model projects initiated in 2024 alone [27][35].

Core Insights - The 2025 Global Computing Conference (CGC) hosted the release of the "2025 Annual Global Computing Industry Application Case Compilation (GMVPS)" which serves as an annual benchmark for innovation in the global computing industry [1] - The event featured nearly 60 submitted cases across more than ten industries, highlighting the breadth of innovation in the computing sector [1][8] Group 1: Case Collection and Evaluation - The case collection process, initiated on July 21, received strong support from various communities and attracted numerous submissions from GCC member units and industry partners [8] - The focus areas included intelligent computing, high-performance computing, green computing, and edge computing, covering advanced efficiency, secure computing, and intelligent systems [8] - A committee composed of technical experts, industry leaders, and media representatives conducted multiple rounds of material reviews and evaluations to select benchmark cases in technology innovation and industry application [13] Group 2: Special Recommendations and Recognitions - The newly introduced "Committee Special Recommendation" title emphasizes technological breakthroughs and industry demonstration, with a list of notable cases announced [14] - Selected cases include advanced solutions from companies like China Mobile, Huawei, and Lenovo, showcasing significant contributions to the computing landscape [16][17] Group 3: Ecosystem Development and Future Outlook - The GMVPS case selection activity aims to build bridges for industry innovation, promoting deep integration of computing technology across various sectors [19] - The release of the annual case collection not only showcases outstanding industry practices but also establishes a platform for technical exchange and resource sharing [19] - The alliance plans to continue gathering industry forces to enhance collaborative innovation, focusing on trends like intelligent upgrades and green low-carbon initiatives, thereby driving sustainable growth in the global digital economy [19]

Core Insights - The collaboration between Sichuan Bank and Yuxin Technology marks a significant milestone in the bank's digital transformation journey, transitioning from a patchwork approach to a comprehensive ecosystem [1][2] - The new generation credit investment smart platform integrates nine core systems, enhancing operational efficiency and customer experience while significantly reducing costs [2][4] Digital Transformation - Sichuan Bank's digital transformation has accelerated, achieving a 40% reduction in labor costs and a 300% increase in iteration efficiency, with development and testing cycles shortened by over 50% [4] - The project addresses existing bottlenecks in the bank's credit systems, such as product iteration difficulties and data silos, through a three-pronged approach of top-level design, layered architecture, and domestic adaptation [4][5] System Features - The platform enables full-process paperless coverage, achieving 100% online, automated, and paperless processes, which significantly enhances customer experience and operational efficiency [5] - A robust risk control system has been implemented, automating risk rule enforcement and eliminating manual risk management, thus creating a firewall that integrates policy and system [5][6] AI and Future Capabilities - The project lays the groundwork for an "AI + Finance" era, with a cloud-native architecture and fully domestic adaptation, ensuring future scalability for AI capabilities [6][7] - High-quality, standardized data will serve as a core asset for the bank, enabling precise marketing, intelligent pricing, and optimized capital allocation [7] Strategic Goals - The platform's modular architecture allows for agile responses to future needs, supporting the integration of innovative products like green finance and rural revitalization loans [7] - Yuxin Technology views the Sichuan Bank project as a benchmark in the Southwest region, aiming to foster a new digital financial ecosystem characterized by intelligence, agility, security, and openness [7]

Investment Rating - The industry investment rating is "Outperform the Market" [21] Core Viewpoints - The report emphasizes that the implementation of the "Implementation Opinions" by the State Council will accelerate the development of China's artificial intelligence industry [3][7] - The Kimi K2 Thinking model, released by the company "月之暗面," ranks third globally in performance, indicating that domestic large models are continuously improving and adapting well to domestic accelerated computing chips [9][17] - The report suggests a strong outlook for the AI industry in China, driven by the competitive landscape of global AI large models and the ongoing iteration of domestic models [17] Summary by Sections Industry News and Commentary - The State Council issued the "Implementation Opinions" on November 7, which includes five parts aimed at fostering the application of new technologies and products in various economic and social scenarios [3][6] - The report notes that the Kimi K2 Thinking model has achieved state-of-the-art performance in several benchmark tests, enhancing its capabilities in complex reasoning and tool usage [9][17] Key Company Announcements - "浪潮信息" announced the progress of its share repurchase, having repurchased 1,551,866 shares at a total cost of approximately 96.99 million yuan [10] - "东华软件" disclosed two investment announcements, including the establishment of an AI research institute and a technology company with a total investment of 35 million yuan [10] - "国能日新" announced a joint venture for energy storage with a registered capital of 40 million yuan [10] Weekly Market Review - The computer industry index fell by 2.54% this week, underperforming the CSI 300 index, which rose by 0.82% [11][14] - The overall P/E ratio for the computer industry is 56.0 times, with 359 A-share component stocks, of which 98 rose, 2 remained flat, and 257 fell [14] Investment Recommendations - The report recommends focusing on AI-related investment opportunities, particularly in AI computing power and algorithms, highlighting companies such as 海光信息, 龙芯中科, and 恒生电子 [17]

Core Insights - Yuxin Technology has successfully won the bid for the first phase of a data platform project with a leading bank in London, enhancing its presence in the European market [1] - In Indonesia, the company is collaborating with a top digital bank, resulting in rapid business growth [1] - In the Hong Kong and Macau markets, Yuxin Technology has secured multiple data implementation projects with a commercial bank and formed strategic partnerships with several global fintech companies, leading to an increase in product deployment such as enterprise online banking, digital wallets, and loyalty platforms [1] - The company is also undertaking a new-generation core banking system project for a multinational bank's Hong Kong and international branches, which has successfully entered the system testing phase, further boosting its brand recognition in the region [1]

Core Insights - The company has achieved initial success in its overseas strategy this year, attracting significant attention from global financial institutions with the support of AI capabilities [1] Group 1: Market Expansion - In the European market, the company successfully won the bid for the first phase of a data platform project for a leading bank's London branch [1] - In the Indonesian market, the company has partnered with a leading digital bank to conduct joint operations, resulting in rapid business growth [1] - In the Hong Kong and Macau markets, the company secured multiple data implementation projects for a commercial bank and formed strategic partnerships with several global fintech companies, leading to an increase in product deployment cases such as corporate online banking, digital wallets, and loyalty platforms [1] Group 2: Brand Recognition - The company is currently in the system testing phase for a new generation core banking system project for a multinational bank's Hong Kong and international branches, which has further enhanced its brand recognition in the local market [1]

Group 1: AI Business Developments - The company has integrated AI capabilities across its entire business line, resulting in a rapid growth of AI-related orders and the establishment of a comprehensive enterprise-level AI service system in the financial sector [2][3]. - A new generation AI smartphone banking product has been launched, successfully implemented in a major state-owned bank [2]. - The company has collaborated with a provincial branch of a state-owned bank to develop an intelligent credit platform based on large models, enhancing processes such as intelligent document processing and risk control [2][3]. Group 2: Efficiency Improvements - The AI-driven credit operation solution has achieved significant improvements, including a 70% reduction in time, a 90% increase in quality, and a 500% boost in efficiency, addressing issues like long processes and high costs for banks [3]. - The integration of AI in financial institutions has led to the automation of document organization and financial metric calculations, enhancing overall operational efficiency [3]. Group 3: International Market Engagement - There is a strong demand for system upgrades among traditional overseas financial institutions, with a growing interest in AI technologies to enhance business operations [4]. - The company has made initial progress in its overseas strategy, attracting attention from global financial institutions, including winning a data platform project with a leading bank in London [4]. - In Indonesia, a partnership with a leading digital bank has resulted in rapid business growth, while in Hong Kong and Macau, multiple data implementation projects have been secured [4]. Group 4: Future Outlook and Risks - The investor relations activity covered the company's future development plans and performance expectations, emphasizing the importance of recognizing associated risks [4].