Core Viewpoint - YunSai ZhiLian's stock price has shown fluctuations with a year-to-date increase of 16.32%, while recent performance indicates a 3.73% rise over the last five trading days and a 10.05% decline over the last 60 days [1] Financial Performance - As of September 30, 2025, YunSai ZhiLian reported a revenue of 4.599 billion yuan, reflecting a year-on-year growth of 14.64%, while the net profit attributable to shareholders decreased by 8.05% to 145 million yuan [2] - The company has distributed a total of 1.132 billion yuan in dividends since its A-share listing, with 175 million yuan distributed over the last three years [3] Shareholder Information - The number of shareholders for YunSai ZhiLian decreased to 177,700, a reduction of 7.77% compared to the previous period [2] - The top ten circulating shareholders include Hong Kong Central Clearing Limited, which increased its holdings by 1.7537 million shares to 7.4008 million shares, while Southern CSI 1000 ETF and CSI Shanghai State-owned Enterprise ETF reduced their holdings [3] Market Activity - On December 29, YunSai ZhiLian's stock price reached 18.35 yuan per share with a trading volume of 145 million yuan and a turnover rate of 0.75%, resulting in a total market capitalization of 25.097 billion yuan [1] - The company has appeared on the trading leaderboard seven times this year, with the most recent occurrence on March 7 [1] Business Overview - YunSai ZhiLian, established on May 28, 1993, and listed on December 19, 1990, specializes in providing core hardware and software products for smart cities and comprehensive solutions [1] - The revenue composition of the company includes cloud computing and big data at 53.32%, industry solutions at 42.35%, smart products at 7.33%, and other products at 0.12% [1]

Group 1 - The core viewpoint of the news is the successful convening of the MaiFushi Ecological Conference, where strategic partnerships were established with leading technology companies to enhance AI capabilities and digital economy support [1][2] Group 2 - MaiFushi has formed deep strategic collaborations with companies such as Baidu, Alibaba Cloud, and OceanBase, focusing on integrating cloud infrastructure, AI models, and domestic intelligent computing chips to create a secure AI computing foundation [1] - The collaboration aims to enhance the scale of AI applications across various sectors, including finance, government, and commercial aerospace, by addressing application bottlenecks and promoting the transition from technology validation to large-scale industrial empowerment [1][2] - The signing of agreements is expected to drive deep integration and complementary advantages within the AI industry chain, fostering a collaborative innovation model that combines foundational computing support, data flow, and intelligent applications [2]

十四届全国人大四次会议将于2026年3月5日在京召开 国家网信办：提供人工智能拟人化互动服务应显著提示应向用户提供删除交互数据的选项 年内实现三级跨越境内ETF总规模突破6万亿元 俄罗斯总统普京27日在俄联合部队集群某指挥所与军方官员会晤时表示，即便到今日，乌克兰领导人仍然没有急于和平解决冲突。若乌方不愿和平解决这一 问题，俄方将通过特别军事行动以武力解决面临的所有问题。（新华社） 国家统计局数据显示，1至11月份，全国规模以上工业企业实现利润总额66268.6亿元，同比增长0.1%，自今年8月份以来累计增速连续四个月保持增长。 中国国际服务贸易交易会已成功举办12届。自2012年创办以来不断提质升级，已累计吸引近200个国家和地区的147万展客商参与。目前，2026年服贸会已经 进入筹备阶段。（央视新闻） 截至12月26日，境内ETF总规模达到6.03万亿元，创历史新纪录。近年来，境内ETF发展按下"快进键"。境内ETF规模于2020年10月首度突破1万亿元，2023 年8月突破2万亿元，2024年9月突破3万亿元，2025年4月突破4万亿元，2025年8月突破5万亿元，2025年12月突破6万亿元。（中国 ...

《商道创投网》2025年12月26日从官方获悉：数字引力近日完成了由合肥综合性国家科学中心数据空间 研究院投资的新一轮战略融资。 《商道创投网》创业家会员·单位简介： 数字引力是国内领先的工业数字化建设服务提供商，致力于挑战传统软件开发和交付模式。公司打造 了"工业+"赋能平台，独创"场景式开发"模式，为企业提供安全可靠的数字化服务，助力企业快速实现 数字化转型。其核心产品包括可信数据空间底座（DG-Base）及数据资产化运营平台（DG-Assets）， 已落地白酒等行业客户，实现百万元级营收。 《商道创投网》创业家会员·本轮融资用途是什么？ 数字引力创始人表示，本轮融资将重点用于可信数据空间领域的技术研发、解决方案迭代以及市场拓 展，加速推进数据资产地图系统的研发，为企业数据资产的可视化、确权与合规流通提供支撑。 《商道创投网》创投家会员·本轮投资原因是什么？ 数据空间研究院相关负责人表示，投资数字引力是看中其在可信数据空间领域的技术实力和市场潜力， 以及其在工业数字化服务领域的创新模式和优质客户资源。数字引力的团队背景扎实，具备持续创新能 力，有望在数据要素领域成为领军企业。 《商道创投网》创投生态圈·本 ...

Core Viewpoint - The National Data Bureau has proposed implementation opinions to strengthen data technology innovation, aiming to build a data-driven industrial innovation system by 2027 and achieve international leading levels in key data technologies by 2030 [1][2][3]. Group 1: Strengthening Technical Research and High-Level Applications - Focus on breakthroughs in key data technologies, including supply, circulation, utilization, and security, integrating data technology research into national science and technology plans [2]. - Establish platforms for concept verification and pilot testing to accelerate the market application of data technology research results [2][3]. Group 2: Promoting Efficient Transformation of Data Technology Innovations - Create high-value data technology application scenarios and encourage various entities to open data application scenarios for technology validation [3]. - Develop a system for the transfer and transformation of data technology achievements, ensuring a seamless process from technology research to application [3]. Group 3: Cultivating Data Technology Innovation Ecosystem - Build a system of innovation platforms in the data field, supporting the development of national-level technology innovation platforms and key laboratories [4]. - Encourage collaboration among national laboratories, enterprises, and research institutions to tackle critical challenges in data technology [4]. Group 4: Promoting Open Source Innovation in Data Technology - Support the development of open-source platforms and communities, encouraging high-quality data to be integrated into these communities [5]. - Establish a data-driven scientific research infrastructure to enhance the efficient circulation and utilization of scientific data [5][6]. Group 5: Strengthening the Foundation for Data Technology Innovation - Accelerate the construction of a national integrated computing power network to support data technology research and validation [7]. - Enhance talent cultivation in the data technology field, establishing a comprehensive evaluation system for data technology professionals [7]. Group 6: Increasing Financial and Tax Support - Strengthen government investment to guide financial institutions in supporting data technology innovation, creating a stable investment mechanism [8]. - Improve the standardization of data technology, ensuring the development of key technology standards and enhancing risk management in the data field [8]. Group 7: Establishing a Regular Working Mechanism - The National Data Bureau will coordinate to address technical challenges and resource allocation, regularly evaluating the effectiveness of data technology initiatives [9].

《意见》中明确，到2027年，建成一批具有引领性和支撑性的数据科技创新平台，形成以企业为主体、 产学研用深度融合的高效创新机制，初步建立数据驱动的产业创新体系，数据供给、流通、利用、安全 等关键技术和设备实现阶段性突破。 （总台央视记者 丁雅妮 刘柏煊） 《意见》提出，结合"人工智能+"行动、"数据要素×"行动、数据流通利用基础设施建设等工作，建设一 批高价值、广覆盖、强牵引的数据科技应用场景。 今天，国家数据局发布《关于加强数据科技创新的实施意见》（以下简称《意见》），其中提出，谋划 布局一批数据领域部级重点实验室等创新平台，推动建设一批数据领域概念验证、中试基地、检验检测 等平台基地。 据介绍，数据科技是以发挥数据叠加倍增作用，释放数据要素价值为目标，系统性构建的数据科学、技 术和工程体系。 ...

每经AI快讯，12月27日，国家数据局官微发布关于加强数据科技创新的实施意见。意见提到，推动数 据科技创新成果高效转化。结合"人工智能+"行动、"数据要素×"行动、数据流通利用基础设施建设等工 作，建设一批高价值、广覆盖、强牵引的数据科技应用场景。引导政府部门、国有企业、行业龙头企 业、平台企业、数据交易机构等开放数据应用场景，为技术验证提供"试验田"。探索建立数据科技成果 转移转化体系，支持和引导数据领域优势主体牵头组织产业链创新链上下游力量，打通数据技术攻关、 产品研发、验证测试、场景应用全流程，健全产学研用深度融合的数据科技创新成果转化机制。 ...

12月26日，金融监管总局公开发布《银行业保险业数字金融高质量发展实施方案》（下称《方案》），提 出银行业保险业高质量推进数字金融服务的8个重点领域，涵盖支持科技型企业创新成长、服务先进制造业 发展、深化小微企业金融服务等；同时，要求金融机构充分发挥人工智能等新技术创新引领作用、有效激 发数据要素潜能。 2022年1月，原银保监会印发《关于银行业保险业数字化转型的指导意见》（下称《意见》），明确了银行保 险机构数字化转型的指导思想和基本原则，其核心在于为金融机构提供监管指引。金融监管总局有关司局负责 人指出， 《意见》与《方案》构成递进关系，后者是前者的深化与升级， 两者共同构建了数字金融发展的监 管政策框架。 支持科技型企业创新成长位列八大领域首位 具体来看，本次《方案》首先要求金融机构科学统筹制定数字金融发展规划、建设数字化运营体系、建设数字 型组织体系、建立数字人才体系等，建立健全数字金融治理机制。 同时，进一步明确了推进数字金融服务的8个重点领域：支持科技型企业创新成长、服务先进制造业发展、助 力绿色经济发展、深化小微企业金融服务、在民生服务领域开发有针对性的数字金融产品、服务乡村振兴、支 持落实国家 ...

Core Viewpoint - The article emphasizes the importance of advancing the construction of a digital China as outlined in the 20th Central Committee's Fourth Plenary Session, highlighting its role in enhancing new productive forces and driving economic and social development [1][2]. Group 1: Digital Economy and New Productive Forces - The construction of a digital China is crucial for fostering new productive forces across various sectors, enabling breakthroughs in technology, application scenarios, and industrial upgrades [2][3]. - By 2024, national data production is expected to reach 41.06 zettabytes, with over 400,000 data enterprises and a data industry scale of 5.86 trillion yuan, indicating a growing recognition of the value of data elements [3]. - The strategic deployment around digital economy aims to leverage China's advantages in data resources, infrastructure, and application scenarios to promote deep integration of the real economy and digital economy [4]. Group 2: Empowerment through Digitalization - The rapid penetration of intelligent technologies, particularly artificial intelligence, into various fields is unprecedented, necessitating a focus on digitalization in modern industrial systems and public services [5][6]. - Digitalization is expected to enhance public service systems, breaking geographical and resource distribution barriers, thus improving access to quality services for all citizens [6]. - The article outlines the need for digital trade innovation and the promotion of secure cross-border data flow to expand cooperation in digital economy and artificial intelligence [7]. Group 3: Data Infrastructure and Market Reform - The National Data Bureau plans to enhance the data infrastructure and market reform to better utilize data elements, focusing on establishing a robust data property rights system and promoting market-oriented data allocation [8][9]. - Key initiatives include improving data infrastructure, enhancing data application, and fostering a vibrant data industry ecosystem through supportive policies [9][10]. - International cooperation in data governance and cross-border data flow is emphasized to build trust and facilitate orderly data movement [10].

其中，支持科技型企业创新成长在各重点领域居靠前位置。《方案》提出，要围绕科技型企业"两高一 轻"特点，建立科创大数据集为企业识别画像。合理运用智能审批授信模型提高审批效率，对未通过线 上审批的客户提供线下补充申请渠道。探索发展数据资产、网络安全等相关保险业务，为科技创新应用 提供风险保障。 12月26日，金融监管总局公开发布《银行业保险业数字金融高质量发展实施方案》，提出银行业保险业 高质量推进数字金融服务的8个重点领域，涵盖支持科技型企业创新成长、服务先进制造业发展、深化 小微企业金融服务等；同时，要求金融机构充分发挥人工智能等新技术创新引领作用、有效激发数据要 素潜能。 具体来看，本次《方案》首先要求金融机构科学统筹制定数字金融发展规划、建设数字化运营体系、建 设数字型组织体系、建立数字人才体系等，建立健全数字金融治理机制。 同时，进一步明确了推进数字金融服务的8个重点领域：支持科技型企业创新成长、服务先进制造业发 展、助力绿色经济发展、深化小微企业金融服务、在民生服务领域开发有针对性的数字金融产品、服务 乡村振兴、支持落实国家重大区域发展战略、支持贸易数字化。 金融监管总局强调，未来将指导金融机构积极稳 ...