由清华大学等高校及企业承办的交流活动将充分展现大数据行业创新活力，主题涵盖数据开发利用、可 信数据空间、数据交易、人工智能、数字人才培养等多个方向，广泛邀请各类专家学者及企业精英从不 同视角发声，深入交流发展中的经验成果、困惑与挑战，力求通过思想碰撞与经验交流，为各方提供有 益的思路与借鉴。 2025数博会交流活动还预计发布64项具有引领意义的关键行业标准和具有参考价值的典型案例，为企业 的战略布局、技术创新、业务拓展等提供有价值的路径参考，助力企业在激烈的市场竞争中把握机遇、 赢得先机，推动整个大数据产业生态的健康繁荣发展。 官方表示，2025数博会交流互动活动将汇聚行业智慧、融合政产学研用、聚焦数据未来的交流盛宴，为 数字经济发展注入强劲新动能，书写合作共赢的新篇章。 海内外各方还将参与"高质量数据集""数字政府""算力聚势智能未来""AI可信数据空间大会""公共数据 开发利用"等交流活动，分享数字政府建设、可信数据空间应用、数据安全治理等领域的典型经验与实 践案例，为大数据行业发展贡献智慧。 贵阳贵安也积极谋划特色鲜明的交流活动，充分发挥算力枢纽节点城市优势，邀请国家算力枢纽节点城 市代表及算力领域知名 ...

金域医学 20250825 摘要 金域医学面临医疗行业挑战，包括医保控费、检验价格下行及行业规范 化，但长期来看，这些政策有助于合规企业发展，并增加外包服务需求， 为公司带来增长机会。公司坚持长期主义，通过变革措施确保基本面稳 健，并积极适应政策变化。 医疗检验行业面临物价下降和医保控费的双重压力，导致市场规模缩小 和检验项目价格下降。但第三方独立实验室有望获得更大市场份额，因 医院可能外包检测以应对成本压力，金域医学正积极适应这一趋势。 公司正从旧规则向新规则过渡，业绩承压。通过提供高价值服务、成本 控制和数字化转型应对挑战。自 2020 年起，公司在数字化、智能化建 设方面投入资源，以提高效率并降低成本，坚持核心价值导向。 金域医学在数据治理方面取得显著成就，成为全国首个建立可信数据空 间的医疗机构，并得到国家数据局认可。通过三年多的数据治理，实现 数据质量提升，并获得合作医院的高度认可。 公司高度重视产学研合作，与超过 210 家高校和医院以及腾讯、华为、 阿里等企业合作，增强科研实力，推动产业生态建设，实现稳健发展。 产学研结合是公司发展战略之一。 Q&A 金域医学在 2025 年上半年的业绩表现如何 ...

上海先行先试，正加快落地超大城市级可信数据空间。 要让数据"供得出、流得动、用得好、保安全"，第一财经获悉，上海先行先试，正加快落地超大城市级可信数据空 间。这也将成为上海破解数据流通信任壁垒，释放数据要素价值的又一核心引擎。 试点建设超大城市级可信数据空间 今年7月份，国家数据局公布了首批可信数据空间创新发展试点名单，63个试点项目入选，包括13个城市、22个行业 和28个企业可信数据空间，标志着我国在探索数据要素规模化流通利用新模式新路径上迈出关键性步伐。上海数据 集团申报的城市可信数据空间也是首批试点项目之一。 据悉，此次试点工作旨在打造一批资源丰富、应用创新、生态繁荣、成效显著的可信数据空间，在数据资源开发利 用、数据安全可信流通、数据要素价值共创、数据制度机制创新等方面，形成可复制推广的经验模式，支撑全国一 体化数据市场建设。 为何要推出可信数据空间？上海数据集团相关负责人表示，在探索释放数据要素价值时，往往遭遇"供数不顺 畅"、"用数不放心"、"流动不可信"等瓶颈。比如，数据提供方担心，数据有可能被超范围使用、复制、甚至恶意泄 露；在供给数据的具体过程中，存在环节繁琐、时效性差等问题。而对数据需求 ...

新华财经上海8月23日电（记者杜康）数字经济时代，数据成为一种新型生产要素。然而，数据的流通 与共享却面临诸多挑战，如隐私保护、信任缺失等。可信数据空间，作为数据"新基建"，在数据孤岛之 间架起高速公路，通过分布式技术框架，制定出一套"交通规则"，让数据在其中"供得出、流得动、用 得好、保安全"。 记者获悉，上海先行先试，正加快落地超大城市级可信数据空间。这也将成为上海探索破解数据流 通"信任难题"，释放数据要素价值的又一核心引擎。 何为"可信"：突破数据流通三大瓶颈 "如果把可信数据空间理解为电商平台，里面各行业主体运营的子空间就相当于线上店铺。每家店铺里 面，陈列着各自的数据产品，供数据使用方挑选。数据供给方和使用方，都通过连接器进入平台，相当 于发货地址和收货地址。通过连接器，可以控制数据的流通和使用策略，让数据使用更安全可控。"对 于何为"可信数据空间"，上海数据集团相关负责人做了一个比喻。 可信数据空间，是伴随着数字经济时代到来出现的新事物，也是解决数据流通问题的新基建。 提效降本：打造数据基础设施互联互通"上海样本" 针对数据这一新生产要素，近年来上海先行先试，数据要素流通基础不断夯实，构建了支持 ...

Financial Performance - In the first half of 2025, the company reported a revenue of 826 million CNY, a year-on-year decrease of 5.38% [3] - The gross profit margin increased by 4.1 percentage points, reaching 67.41% [5] - Total expenses decreased by 14.04% year-on-year [9] - The net profit attributable to shareholders was a loss of 64.69 million CNY, significantly reducing the loss by 68.56% compared to the previous year [3] Quarterly Highlights - In Q2 2025, revenue was 491 million CNY, an increase of 8.72% year-on-year [4] - The net profit for Q2 2025 was 3.70 million CNY, recovering from a loss of 116 million CNY in Q2 2024, marking a 103.17% improvement [4] Revenue Quality and Structure - The proportion of low-margin projects decreased by 12.5 percentage points in the first half of 2025 [5] - Revenue from intelligent computing cloud products reached 102 million CNY, accounting for 12.40% of total revenue, with a year-on-year increase of 3.00% [6] - Revenue from state-owned enterprises increased by 30.62% year-on-year, while revenue from government and public institutions decreased by 30.35% [9] Cost Control and Efficiency - Total expenses for the first half of 2025 were 784 million CNY, down 14.04% year-on-year [9] - R&D expenses decreased by 15.47%, management expenses by 15.42%, and sales expenses by 12.65% [9] - The total number of employees decreased by 0.87% to 5,250, with a slight increase in marketing personnel by 1.41% [10] Industry Analysis and Business Development - The cybersecurity market in China is projected to reach 17.1 billion USD by 2028, with a compound annual growth rate (CAGR) of 9.2% [10] - The demand for intelligent computing is expected to grow significantly, with the AI model market projected to exceed 36 billion CNY in 2024 [11] - The company is focusing on AI integration to enhance product competitiveness and operational efficiency [12] Future Outlook - The company anticipates continued growth in revenue from state-owned enterprises and cloud security services [25] - The gross profit margin is expected to exceed last year's levels due to a focus on core business and reduced low-margin projects [25]

Core Viewpoint - Tianrunxin Technology Group Co., Ltd. reported a strong performance in the first half of 2025, with significant revenue growth and improved profit margins, indicating resilience in the cybersecurity sector [1][2][3]. Financial Performance - The company achieved an operating revenue of 826 million yuan in the first half of the year, with a year-on-year growth of 8.72% in the second quarter [1]. - Gross margin increased by 4.1 percentage points, while total sales, R&D, and management expenses decreased by 14.04% year-on-year [1][2]. - Net profit grew by 68.56% year-on-year, with a remarkable 103.17% increase in the second quarter [3]. Sector Performance - Revenue from key sectors showed robust growth: - Telecommunications sector up by 25.31% - Financial sector up by 19.52% - Energy sector up by 32.35% - Transportation sector up by 60.78% [2]. Strategic Initiatives - The company is committed to a strategy of technological innovation, aiming to become a leading provider of cybersecurity and intelligent computing cloud solutions in China over the next decade [4]. - The proportion of intelligent computing cloud business in total revenue increased from 7.43% to 12.40% from 2023 to the first half of 2025, indicating a growing revenue stream [4]. Product Development - Tianrunxin has integrated AI into its products, enhancing its enterprise-level AI security capabilities, and has maintained a leading market share [5]. - The company has developed a comprehensive protection system for large models, including a large model security gateway and data security monitoring systems [5]. Infrastructure and Partnerships - The company has made strategic advancements in building a trusted data space, with solutions already applied in key infrastructure sectors like telecommunications and energy [6]. - Collaborations with Huawei and the Zhongguancun Robot Innovation Center aim to enhance security solutions and accelerate the integration of intelligent industries [6].

Core Viewpoint - The event hosted by Tsinghua University Internet Industry Research Institute focused on the launch of the DataRocks trusted data space product solution, addressing the core pain points in the current data factor market and promoting the safe circulation of massive data [2][4]. Group 1: Policy and Market Demand - The era of developing trusted data resources for urban construction has begun, with the key to digital urban development being the development of the data factor market [5]. - The DataRocks solution aims to overcome three major barriers in data value release: invisible cross-domain data, inaccessible high-value resources, and sensitive data that is not utilized [5]. - The National Data Bureau's action plan aims to establish over 100 trusted data spaces by 2028, emphasizing the need for trusted control, resource interaction, and value co-creation [5]. Group 2: Core Technical Advantages of DataRocks - DataRocks leverages Tsinghua University's research in trusted data spaces and combines it with Bubi Technology's blockchain, privacy computing, and DID (Decentralized Identity) technologies to create its core capabilities [6]. - The solution utilizes a fully controllable blockchain platform to ensure data transaction integrity through on-chain evidence and smart contracts [7]. - Privacy computing technology allows for controlled data sharing, ensuring data sovereignty while releasing data value [8]. - The integration of DID with CA technology provides a unique global identifier for data subjects, enhancing identity security and facilitating safe data circulation [9]. Group 3: Key Functions of DataRocks - DataRocks encompasses a comprehensive product design that covers the entire data circulation chain, including trusted infrastructure, connectors, and data services [13]. - Key functionalities include DID identity management, data encapsulation and secure publishing, smart contract signing, and full lifecycle traceability, creating a closed loop for data value circulation based on trusted governance [13]. Group 4: Application Cases - The DataRocks solution has supported the construction of multiple trusted data spaces, providing end-to-end support from data registration to security supervision [14]. - In industry-specific applications, it connects banks and government entities, utilizing privacy computing to combine loan data with social security and business data for enterprise credit scoring, with over 10 banks already integrated [14]. Conclusion - The DataRocks solution represents a significant breakthrough in building trusted infrastructure and exploring intelligent production and living models, transforming dormant resources into powerful drivers for an intelligent society [15].

Group 1 - The National Bureau of Statistics has announced the "2025 Trusted Data Space Innovation Development Pilot List," which includes Shaanxi Yunchuang Network Technology Co., Ltd. and Shaanxi Fastech Automotive Transmission Group Co., Ltd., highlighting the strength of Shaanxi enterprises in data resource development, data security, and innovative data mechanisms [1] - The pilot program will focus on areas with strong application demand, good development foundation, high economic and social value, and strong demonstration capabilities, aiming to cultivate a batch of trusted data spaces over two years [1] - The initiative seeks to create replicable and promotable experience models in data resource development, secure data circulation, value co-creation of data elements, and innovative data systems [1] Group 2 - Shaanxi Yunchuang Network Technology Co., Ltd. operates under the "technology + operation + finance" development philosophy, providing comprehensive digital solutions and data services for the tourism industry [2] - The company has developed a product system that includes an industry monitoring and emergency command platform and a scenic area digital management platform, focusing on AI-driven upgrades [2] - Shaanxi Fastech Automotive Transmission Group is a key player in the commercial vehicle and high-end CNC machine tool industry chains, leading the construction of an enterprise-level trusted data space to enhance data sharing and collaboration across the supply chain [2] - The company aims to improve the efficiency of planning, procurement, production, delivery, and operation through a unified industrial internet platform for commercial vehicle transmission systems [2]

Core Viewpoint - The "Urban Trusted Data Space Innovation Development Pilot (Zhengzhou)" project, submitted by Zhengzhou Smart Technology Group, has been selected as one of the national pilot projects for 2025, marking a significant achievement in the province's data element market reform [1][2]. Group 1 - The trusted data space is a key infrastructure for establishing a national data foundation and cultivating a unified national data market, aiming to enable secure and trustworthy data circulation and value co-creation among multiple stakeholders [1][2]. - Zhengzhou Smart Technology Group will focus on building a data service system to support the city's digital transformation and create a national data circulation hub [2][3]. - The pilot project will emphasize the integration of trusted data spaces with key urban sectors such as finance, healthcare, logistics, agriculture, and AI, promoting high-value application scenarios [2][3]. Group 2 - By 2027, the project aims to achieve at least 60% coverage of public data, with total data openness increasing by over 100%, and to attract 200 data service providers and 2,000 data products [3]. - The economic goal includes achieving profitability within five years, driving Zhengzhou's data transaction scale to exceed 10 billion yuan, and reaching a digital economy scale of 800 billion yuan [3]. - The project is expected to create a replicable model that encourages more enterprises in the province to recognize the value of data elements, enhancing Henan's position in the national digital economy landscape [3].

Group 1 - The National Bureau of Statistics has announced the first batch of pilot projects for trusted data space innovation, with Nanjing Steel Co., Ltd. selected for its project "Trusted Data Space for Steel Industry Chain" [1] - Trusted data space is a data circulation infrastructure that links multiple parties based on consensus rules to achieve data resource sharing [1] - The pilot aims to select benchmark projects with industry typicality and technological foresight to provide experience for building a unified national data factor market [1] Group 2 - The selected project focuses on key development goals such as collaborative optimization of the steel industry chain, deep integration of digital technology with the real economy, and green collaborative development [1] - The project emphasizes five core scenarios: supply chain collaboration, intelligent manufacturing and production optimization, market analysis and forecasting, R&D quality and sustainable development, and customer and value-added services [1] - The project aims to create a trusted data space system that aligns with the development of the steel industry chain, fostering multi-party data integration and value co-creation [1] Group 3 - In recent years, Nanjing Steel has pursued a transformation path of "digitalizing all businesses and businessizing all digital operations," leveraging "data factors + industrial internet + artificial intelligence" as core engines [2] - The company has established a "Trusted Data Space Alliance for the Steel Industry" with upstream and downstream partners, launching an initiative to build high-quality industrial data sets [2] - The initiative aims to facilitate efficient data circulation and application across the industry chain, positioning the company as a pioneer in extracting value from industry data factors [2]