证券代码：300766 证券简称：每日互动 公告编号：2025-022 每日互动股份有限公司 第三届董事会第二十二次会议决议公告 本公司及董事会全体成员保证信息披露内容的真实、准确和 完整，没有虚假记载、误导性陈述或重大遗漏。 一、董事会会议召开情况 每日互动股份有限公司（以下简称"公司"）第三届董事会第二 十二次会议（以下简称"本次会议"）的通知于 2025 年 6 月 18 日以电 话、邮件的方式送达各位董事。本次会议于 2025年 6月 23日在公司 杭州会议室举行，会议以现场结合通讯表决方式召开。会议应出席 的董事 9人，实际出席的董事 9人，以通讯表决方式出席本次会议的 董事 4 人（陈天、郭斌、金城、马冬明），无委托出席本次会议的 情形。董事长方毅先生主持会议，公司监事、其他高级管理人员列 席了会议。本次会议的召开符合有关法律、行政法规、部门规章、 规范性文件和《公司章程》等相关法规的规定。 二、董事会会议审议情况 （一）逐项审议通过了《关于修订<公司章程>及修订、制定部 分公司制度的议案》。 1、《关于修订<公司章程>的议案》； 表决情况：9 票同意，0 票反对，0 票弃权，0 票回避 表决结果 ...

除44名首次授予激励对象因离职丧失激励对象资格，不符合归属 条件外，公司2023年限制性股票激励计划首次授予部分第一个归属期 171名激励对象符合《公司法》《证券法》等法律、法规和规范性文件 以及《公司章程》规定的任职资格，符合《管理办法》等法律、法规 和规范性文件规定的激励对象条件，符合2023年限制性股票激励计划 规定的激励对象范围，其作为公司2023年限制性股票激励计划激励对 象的主体资格合法、有效，首次授予激励对象获授限制性股票的第一 个归属期归属条件已成就。 综上，董事会薪酬与考核委员会同意本次激励计划首次授予部分 第一个归属期的归属名单，同意为本次符合条件的171名首次授予激 励对象办理归属，对应本次限制性股票可归属数量为257.70万股。本 次归属事项符合相关法律、法规及规范性文件所规定的条件，不存在 损害公司及股东利益的情形。 每日互动股份有限公司 每日互动股份有限公司董事会薪酬与考核委员会 关于 2023 年限制性股票激励计划 首次授予部分第一个归属期归属名单的核查意见 每日互动股份有限公司（以下简称"公司"）董事会薪酬与考核委 员会依据《中华人民共和国公司法》（以下简称"《公司法》"）《中 ...

Group 1: Business Performance - The company's public service performance has been growing, primarily driven by deep industry knowledge and extensive channel coverage [2] - The introduction of new SaaS products last year has led to scalable revenue and positive growth momentum [2] - The gross profit margin is approximately 70%, with relatively stable expenses [7] Group 2: Future Development - Future business growth is expected to come from the application of data in new downstream industries and the expansion of the "Data Station" initiative [3] - The "Data Station" aims to implement data solutions in various cities and scenarios, leveraging the value of data through openness and sharing [5] Group 3: Technology and Innovation - The company integrates AI technologies such as large models and retrieval-augmented generation (RAG) into its products to enhance service quality [2] - A proprietary AI application for government document writing has been developed, utilizing authoritative data sources to minimize errors and improve user experience [4] Group 4: Data Standardization and Collaboration - Data standardization is supported by the Data Intelligent Operating System (DiOS), ensuring secure data exchange among partners [6] - Collaborations with hospitals and experts have led to the development of a stroke early screening model, utilizing both medical and internet data [7]

Group 1 - Kuaishou concept stocks fell by 2.89%, ranking among the top declines in the concept sector as of May 23 [1] - The main stocks in the Kuaishou concept that experienced significant declines include *ST Tianze, which hit the daily limit down, and others like Rihua Dongfang and Aofei Entertainment [1] - The Kuaishou concept saw a net outflow of 1.398 billion yuan from main funds, with 40 stocks experiencing net outflows, and 11 stocks seeing outflows exceeding 50 million yuan [2] Group 2 - The stock with the highest net outflow was Tom Cat, with a net outflow of 283 million yuan, followed by Meiri Interactive and Aofei Entertainment with net outflows of 197 million yuan and 106 million yuan respectively [2] - The stocks with the highest net inflows included Zhidema and Haoxiangni, with net inflows of 94.575 million yuan and 15.181 million yuan respectively [4] - The Kuaishou concept's performance was notably affected by the overall market trend, with several other concept sectors also experiencing declines [2][3]

Group 1 - The "Data Sharing Station" co-creation plan aims to enhance the value of data elements by leveraging the "data elements × scenarios" multiplication effect, allowing the same data product to be reused across multiple cities and common scenarios [1] - The "Data Sharing Station" is built on the underlying technology of "trusted data space + controllable large models," providing secure circulation of data elements and linking various industries such as healthcare, transportation, and marketing [1] - The project "Cloud on the Road" utilizes IoT smart sensing devices to conduct a comprehensive "CT scan" of urban roads, collecting real-time data on over 50 types of road hazards, thereby improving road maintenance and driving comfort [2] Group 2 - The partnership between Daily Interaction and Wenzhou Data Group focuses on "knowledge security," which protects deep information exposed during interactions with large models, emphasizing the importance of safeguarding thought processes and team outcomes [2] - Daily Interaction has launched an AI product matrix covering enterprise, government, and individual sectors, enhancing efficiency in document writing and knowledge management through the use of large models [3] - Future trends in the data element industry include the democratization of intelligent applications, large-scale knowledge extraction, and systematic improvement of data quality through scenario validation [3]

Group 1 - The event organized by Liaoning Listed Companies Association aimed at enhancing digital transformation and value improvement among member companies [1][2] - High-level executives visited leading tech companies such as Alibaba Cloud, Hikvision, and Hang Seng Electronics to learn about innovative applications of digital technology [1][2] - Discussions focused on corporate culture empowerment and market value management optimization, providing new momentum for high-quality development in Liaoning [1] Group 2 - The executives learned about the strategic importance of Hangzhou Future Technology City in the Yangtze River Delta integration development, showcasing cutting-edge achievements in AI and digital economy [2] - The event included a special lecture on market value management, discussing its evolution, scientific evaluation, and underlying logic for compliant and effective management [2] - The visit prompted deep reflections on organizational culture and strategic management, inspired by Alibaba's iterative spirit and Hangzhou government's data-driven ecological thinking [2]

每日互动（300766）近日在接受机构调研时表示，公司不会囤算力，因为算力的价格变化很大；公司会 根据自己的需求，客户的需求去配置相应的算力。首先，购置了价值数千万元的显卡，储备这些算力， 一部分是应用在公司内部研发和业务中，另一部分是公司可以为客户进行私有化部署，解决部分客户存 在的算力问题；其次，关于信创，公司也在跟进国产设备的情况，用于公共服务的客户；最后，公司推 出了小型的"子母机"，预计单台机器用低成本就可以部署"满血版"DeepSeek。子母机不仅可以供单人使 用，而且可以多台组成小集群，让一个小型单位可以较低成本使用"满血版"DeepSeek。(人民财讯) ...

Group 1: Company Overview and Financial Performance - The company reported approximately 100 million in revenue for Q1 2025, maintaining overall stability, although profits declined due to cost impacts [2] - The amortization of data assets follows a "water drop" accelerated method, reflecting the timeliness of data value [2] - The company has made significant investments in AI, being early partners with major models like ChatGPT and has appointed a Chief AI Officer [2][3] Group 2: AI and Product Development - The company is actively developing AI applications across various sectors, including public services, with products like the "Strong Country Document Assistant" aimed at improving document writing efficiency [3][5] - In the To B and To G sectors, the company focuses on creating effective products in vertical markets, leveraging strategic partnerships to meet real customer needs [3][4] - The company has initiated pilot projects for the "Strong Country Document Assistant" and plans to expand its SaaS services nationwide [5] Group 3: Financial Health and Business Model - Accounts receivable have increased, with a longer collection cycle but remaining within a reasonable range [4] - The company is transitioning from project-based to product and service-oriented models, aiming for a structure where 70% are standard products, 20% implementation, and 10% customization [4] - The commercial model for the "Strong Country Document Assistant" is still being explored, with potential for nationwide SaaS deployment [5] Group 4: Data and AI Resource Allocation - The company has invested several million in AI computing resources, including high-value graphics cards for internal development and customer deployment [7] - The focus is on not hoarding computing power but rather configuring it based on demand, including the development of a low-cost "sub-mother machine" for efficient deployment [7] Group 5: Future Outlook and Strategic Focus - The company emphasizes the importance of data elements and AI, with a structured approach to AI business development planned for 2025 [10] - The strategy includes a focus on "open-source large models + closed-source small data" as a future direction, aiming to create a "flywheel" effect for growth [10]

Core Viewpoint - The National Data Bureau has launched 70 key public data demonstration scenarios to enhance the development and utilization of public data, with Meiri Hudong's project recognized as a significant example [1][2]. Group 1: Public Data Development - The initiative aims to streamline the supply, circulation, and utilization of public data, creating replicable and scalable models that yield substantial social benefits and strong industrial impacts [1]. - Meiri Hudong's participation in the project reflects its commitment to the public data sector and its role in driving innovation in data utilization [2]. Group 2: Industry Applications - Meiri Hudong has been actively involved in the industrial application of public data, particularly in smart transportation and healthcare, achieving a 20% improvement in urban traffic efficiency through its "Smart Green Wave" product [2]. - The company is advancing its "Data Station" strategy, leveraging technologies like privacy computing and blockchain to create a trustworthy data space, facilitating deep integration of public and industrial data [2].

Group 1 - The year 2024 marks the formal inclusion of data assets in accounting practices, with 92 listed companies reporting a total of 2.495 billion yuan in data assets by the end of the year [1][2] - The number of companies reporting data assets has increased from 17 in the first quarter to 92 by the annual report, with the total value rising from 79 million yuan to 2.495 billion yuan [2] - Major contributors to data asset reporting include China Mobile, Cloud Horse, China Unicom, and China Telecom, each reporting over 100 million yuan in data assets [2][5] Group 2 - Data assets are primarily classified as intangible assets, with over 60 companies accounting for more than 1.3 billion yuan in this category, representing approximately 60% of the total [3] - The inclusion of data assets in financial statements helps companies optimize their financial reports, impacting asset scale and net profit [3] - Data asset reporting is seen as a foundation for digital transformation and exploring data trading and value-added services [3] Group 3 - The standardization and normalization of data asset reporting is a growing concern, as not all data resources qualify as assets [4] - Companies face challenges in distinguishing between data resources, products, and assets, necessitating a comprehensive approach to compliance and management [4] - Some companies have been cautious in reporting data assets, with instances of previously reported data being corrected or omitted in annual reports [5]