Group 1: Industry Insights - The National Bureau of Statistics emphasizes the importance of enabling artificial intelligence development through data element empowerment as a key focus of market-oriented reform in the data element sector [1] - By July 2025, a comprehensive market structure is expected to form, led by one national exchange and over 50 regional and industry-level institutions, with the data trading market projected to grow to 211.54 billion yuan by 2024 [1] - The market size is anticipated to reach 284.09 billion yuan by 2025 and potentially exceed 715.9 billion yuan by 2030, with a compound annual growth rate of 20.3% during this period [1] - The construction of an open, shared, and secure national integrated data market is expected to accelerate data circulation and unlock the value of data elements, benefiting the entire industry chain [1] Group 2: Company Developments - Yihualu is recognized as a pioneer in the data element industry with a central enterprise background, actively participating in the development of national standards and industry norms [2] - The company provides a full-process service for data element assetization to government and enterprise clients, covering data asset evaluation, registration, authorized operation, and regional data element market construction [2] - Yihualu has established a complete business chain that includes data registration, asset evaluation, and circulation operation, creating a "public data operation platform product system" to attract industry users and technology service providers [2] - Shanghai Steel Union possesses a significant amount of exclusive bulk commodity data [3]

来源：滇云发现 做外贸的第十三个年头，我经手过的海关数据平台不下十五个。最惨的一次，花四万多买的平台用了三 个月，数据重复率超六成，售后还甩来几十页PDF让自己研究，白白浪费钱和商机。国内主流的国贸 通、特易资讯、腾道数据，我和团队都进行过至少一两年的深度实测，摸透了它们的功能，没有绝对的 好坏，只有是否适配你的业务需求。今天就把实操中的避坑要点和省钱技巧说透，帮外贸同行少走弯 路。 外贸人都懂，数据不是越多越值钱，能直接转化成线索的精准数据才是核心。很多平台靠"覆盖200+国 家"的噱头定价，但藏在背后的重复、错误数据，会让团队做大量无用功，这才是最隐形的成本。 特易资讯是我目前在用的主力平台，最打动我的是数据精准度。它覆盖228个国家和地区，核心数据都 是一手采集，还有业内独有的去重功能。去年开发欧洲光伏市场时，我用中文搜本地HS编码，系统直 接匹配出带采购记录的企业，还自动合并了三家名称相似的关联公司信息，要是换之前的工具，这些重 复信息能让助理白忙大半天。而且通过它的供应链穿透功能，从一个核心采购商延伸找到两家下游分销 商，三个月就谈成两笔订单，单这一点就把年费赚回了大半。不管是欧美成熟市场的详细采购 ...

Core Viewpoint - The successful registration of Qichacha's "HuiZhi" AI model marks a significant step towards the standardized and high-quality development of AI applications in the business information sector in China [2][3]. Group 1: Company Overview - Qichacha is a leading enterprise in the domestic business information data service sector, emphasizing a development philosophy that balances technological innovation and compliance [3]. - The "HuiZhi" AI model represents a key breakthrough in Qichacha's artificial intelligence strategy and is an important achievement for high-quality development in the digital creation industry [3]. Group 2: Product Features - The "HuiZhi" model innovatively integrates Qichacha's vast data and industry knowledge, creating a unique "data-knowledge-intelligence" closed-loop system [4]. - The model demonstrates significant advantages in scenarios such as legal knowledge Q&A, third-party risk assessment, and due diligence report generation, providing users with professional and precise decision-making support [4]. Group 3: Data Governance - Qichacha has established a comprehensive management system for data collection, cleaning, labeling, and updating, ensuring data accuracy, completeness, and timeliness [4]. - The successful registration of the model reflects Qichacha's strong emphasis on data security and compliance, adhering strictly to relevant regulations such as the "Interim Measures for the Management of Generative Artificial Intelligence Services" [4]. Group 4: Industry Recognition and Applications - Qichacha has received multiple honors for its integration of AI technology and industry applications, including recognition as a demonstration project by the Ministry of Industry and Information Technology and as an excellent development unit for major digital social projects in Jiangsu Province [4]. - The model is widely applied across various sectors, including financial institutions, government departments, and business offices, providing robust support for digital transformation [4]. Group 5: Future Directions - With the official application of the "HuiZhi" model, Qichacha aims to leverage its professional advantages in business information to continuously optimize model performance and expand high-value application scenarios [5]. - The company is committed to fulfilling its corporate responsibilities and promoting the healthy development of AI technology within a legal and compliant framework, contributing to the establishment of a safe and trustworthy digital ecosystem [5].

Core Insights - The company is at a critical juncture of "second entrepreneurship" as it embraces a strategic shift towards data intelligence and globalization, led by the return of its founder and CEO, Chen Jie [1][2][9] - The focus is on transforming accumulated data assets into intelligent products that solve complex business problems, moving from raw data to refined, actionable insights [3][4] Group 1: Strategic Transformation - The company has successfully transitioned from information security products to SaaS cloud services and then to inclusive finance (DaaS), serving 28.5 million enterprises and accumulating over 1,000 trillion yuan in real-time transaction data, capturing 40% market share [1][2] - The strategic pivot towards "data intelligence + globalization" is seen as a significant industrial revolution, emphasizing the need for strategic foresight, organizational agility, and technical judgment [2][3] Group 2: Data Intelligence Development - The company aims to industrialize its unique "live data" assets, which are highly structured and dynamic, to create full-stack intelligent products that can be directly utilized by enterprises without the need for self-built models or data cleaning [3][4] - The product roadmap includes three layers: infrastructure, platform capabilities, and ecological applications, focusing on AI-driven solutions across various business scenarios [4] Group 3: Organizational Restructuring - The company has made systematic adjustments to its management structure, ensuring that key positions are filled with leaders capable of driving innovation and breakthroughs [5] - The emphasis is on maximizing the influence of value creators within the organization to enhance agility and responsiveness [5] Group 4: Global Expansion Strategy - The company is pursuing a global strategy that involves establishing a presence in Hong Kong and leveraging its advanced electronic invoicing system to support digital tax upgrades in various regions [6] - The goal is to create a lightweight infrastructure ecosystem for global enterprises, facilitating standardized systems and data interoperability [6] Group 5: Technological Advancements - The X402 protocol is highlighted as a key development for enabling machine payment standards and automating transactions, positioning the company as a provider of intelligent infrastructure [7] - The potential for monetizing data assets through AI agents is seen as a transformative opportunity for the company [7] Group 6: Long-term Vision for Investors - The company aims to leverage favorable conditions in data policy and technology to transition from API-based services to comprehensive solution models, fundamentally altering its valuation logic [8] - The founder's return signals a commitment to shared destiny with the company, focusing on deep capability reconstruction to enhance customer loyalty and profitability [8]

此次合作是人民数据深耕数据资产化服务、助力地方数据要素市场建设的又一成果。近年来，人民 数据聚焦数据交易、数据资产、数据应用、数据研究四项核心业务，积极与各界开展合作，深度参与区 域数字化转型实践，探索数据价值释放新路径，为各地数据要素市场化探索可复制、可推广的模式与经 验。未来，人民数据将持续完善服务体系，推动各地、各领域实现数据优势向治理效能、产业竞争力转 化，为数字经济高质量发展注入新动能。 基于前期合作，人民数据进一步为德泰控股集团量身打造覆盖数据治理、合规确权、资产入表及产 品开发全链条的解决方案，持续助力企业深化数据资产化探索，最终促成此次"社会与公共服务数据 集"及相关数据产品在深圳数据交易所挂牌。该数据集在开发过程中，严格遵循相关法律法规，对涉及 个人信息的数据已进行专业化匿名化处理，确保数据产品不涉及个人隐私，符合数据交易的安全与合规 标准。据了解，该系列社会与公共服务数据产品，可为银行等金融机构提供企业信用状况及经营稳定性 评估支持，助力提升金融服务精准度与安全性，成为数据要素驱动产业高质量发展、激活金融创新活力 的市场化实践样本。 近日，大连德泰控股集团有限公司（简称"德泰控股集团"）的 ...

Group 1 - The core viewpoint emphasizes the importance of data resource development and utilization in promoting high-quality development in Beijing and Jiangxi, in line with the spirit of the 20th Central Committee's Fourth Plenary Session [1][2][3] Group 2 - Beijing has established the first national "Medical Insurance + Commercial Insurance" clearing and settlement center, facilitating synchronized reimbursement for patients across the country [2] - Since the 14th Five-Year Plan, Beijing has launched over 3,000 data products at the Beijing International Big Data Exchange and has provided services over 400 million times to 700,000 market entities [2] - Jiangxi has implemented digital transformation policies, resulting in over 13,000 enterprises adopting digital upgrades, contributing 22.9% to the industrial growth of large-scale enterprises [3] - The AI visual inspection system in a large automotive manufacturing company in Jiangxi can now complete key vehicle inspections within 50 seconds, covering over 1,200 types of components [3] - Jiangxi aims to enhance its industrial competitiveness by building a digital transformation ecosystem that integrates large, medium, and small enterprises [3]

Core Viewpoint - The Chinese government has issued opinions to strengthen the construction of data-related academic disciplines and the digital talent workforce, emphasizing the need for optimized academic program settings and collaboration between educational and data management departments [1] Group 1: Academic Program Development - The opinions call for the establishment of data science and engineering, as well as digital economy and management programs at degree-granting institutions [1] - There is a focus on creating a talent cultivation mechanism that connects undergraduate, master's, and doctoral programs in data-related fields [1] - Vocational schools are encouraged to adjust data-related programs dynamically based on industry development needs, including the addition of courses in data collection, cleaning, labeling, compliance, and operations [1]

Core Viewpoint - The 2025 "Data Element ×" competition's national finals highlighted the increasing circulation of data through open, shared, and authorized operations, emphasizing the importance of data trading centers and service platforms in building a unified national data market [1] Industry Development - The development of China's data market is still in its early stages, with ongoing evolution in the types and capabilities of data circulation service institutions [1] - The National Data Bureau plans to enhance the cultivation of various data circulation service institutions to enrich the data market ecosystem and accelerate the establishment of an open, shared, and secure national integrated data market [1] Future Initiatives - Support will be provided for data trading centers to explore the establishment of a comprehensive service system for data circulation transactions [1] - Data circulation service platform companies will be encouraged to expand new models for industry data integration and utilization [1] - Data vendors will receive support to further develop data products and enhance service capabilities [1]

Core Viewpoint - The company is optimistic about the emerging field of embodied intelligence data, which is seen as a high-growth sector, and has established a dedicated team to develop related business initiatives [2] Group 1: Business Development - The company has initiated site selection for specialized companies in multiple cities across the country to support its embodied intelligence data business [2] - The company has formed partnerships with several leading robotics manufacturers and is engaging with major tech firms and local governments to align on order demands [2] Group 2: Market Potential - The national government has prioritized embodied intelligence as a key industry for future development, indicating significant market potential [2] - There is a growing demand from both domestic and international tech companies for large-scale procurement of embodied intelligence data, which includes interaction data for robots in real-world scenarios and data needed to build simulation models [2] Group 3: Collaboration and Infrastructure - Local governments are actively planning the construction of "embodied intelligence training grounds" to collect high-quality data, which will empower research and industrial applications [2] - The company is currently advancing the design and implementation of sample data delivery and training ground solutions to lay a solid foundation for the accelerated development of its embodied intelligence data business [2]

本报讯 （记者郭冀川）11月28日，2025数据要素发展大会在杭州高新区（滨江）召开。 本次大会由中国通信标准化协会、杭州国家高新技术产业开发区管委会联合主办，中国信息通信研究 院、中国数谷联合承办，杭州高新数联互通科技有限公司协办。 中国信通院云计算与大数据研究所副总工程师闫树发布并解读了《数据要素发展报告（2025年）》。闫 树以智能时代数据要素价值重构为切入点，进一步讨论数据要素的理论认识，阐述了过去一年我国数据 要素发展在供给、流通、应用和安全等方面的最新动态，并在总结发展特征、研判核心挑战的基础上， 对未来发展趋势提出展望。 中国人民大学法学院院长杨东就《法律大模型、共票与数据要素市场化》展开分享。杨东围绕数据要素 市场化的历史进程、数据要素金融创新的中国自主理论、共票理论指导下的数据要素实践等话题探讨现 存问题以及后续发展方向。 中央财经大学中国互联网经济研究院副院长、国家数据专家咨询委员会委员欧阳日辉就《数据要素市场 化配置改革的理论探讨与策略措施》展开分享。欧阳日辉以数据要素市场化配置改革为核心，深入探讨 相关理论基础，阐述我国在制度建设、市场培育、数据流通等方面的实践进展，分析当前面临的核心 ...