数据要素市场
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宇信科技入选江苏省级数据运营开发主体
Jin Tou Wang· 2026-02-10 01:34
Group 1 - The core viewpoint of the article highlights that Yuxin Technology has been officially recognized as a key player in the public data operation for financial services in Jiangsu Province, marking its significant role in the market-oriented reform of data elements and contributing to the high-quality development of the financial industry [1][3][4] - Yuxin Technology's selection is a response to national strategies aimed at developing digital finance and cultivating a data element market, showcasing the company's integration into the evolving landscape of the industry [1][3] - The company has developed the "Star Link" data service platform, which supports various financial scenarios such as credit risk control and marketing services, establishing a solid foundation for participating in public data operations [3][4] Group 2 - Yuxin Technology's competitive advantage lies in its ability to combine cutting-edge technology with a deep understanding of financial business and a strict compliance framework, which is essential for gaining trust in the data element market [4][6] - The company aims to address challenges in data application by providing standardized data products and services that lower the cost for financial institutions to access high-quality data, thereby enhancing the coverage of inclusive finance [4][6] - Yuxin Technology is committed to ensuring data security and compliance, adhering to relevant policies and regulations, and establishing a trust mechanism throughout the data lifecycle to facilitate the effective release of data value [4][6] Group 3 - The company plans to leverage its new role to empower the financial sector across three dimensions: scenario, data, and ecosystem [5][6] - In scenario empowerment, Yuxin Technology will focus on integrating public data with diverse social data to create precise credit profiles for banks, addressing financing challenges for small and micro enterprises [6][7] - The company aims to build a high-quality financial data product library, ensuring data accuracy and timeliness while providing tailored solutions to meet the diverse needs of financial institutions [6][7] Group 4 - Yuxin Technology will act as a connector and catalyst, collaborating with government departments, financial institutions, and partners to create a healthy and prosperous data element financial ecosystem [7] - The company seeks to promote cross-entity and cross-industry data compliance and innovation, expanding new application scenarios and strengthening regional financial security [7] - With the ongoing improvement of the data element market system, Yuxin Technology is positioned to lead the transformation and upgrading of China's financial industry through data elements, contributing to the high-quality development of Jiangsu Province's digital economy [7]
健全数据知识产权登记制度 激活人文经济市场新动能
Xin Hua Ri Bao· 2026-02-05 22:00
□ 杨锦帆刘子馨 在数字经济时代,数据作为关键生产要素,其价值的充分释放已成为推动经济高质量发展的重要引擎。 当前,数据要素市场正经历从资源化到资产化的深刻变革。健全数据知识产权登记制度,为数据产品赋 予清晰、可信的"身份凭证",是破解数据"供不出、流不动、用不好"困境的关键。这一制度不仅能够激 活商业数据要素的流通,更能为蕴含巨大价值的人文资源数据的确权与交易提供制度保障,从而为培育 和激活人文经济市场注入新的法治动能,推动知识、文化与经济价值的深度融合。 其次,登记制度是促进数据流通交易的"催化剂"。统一的登记信息平台能够显著降低经营主体的搜寻与 核实成本,提升交易效率。更重要的是,登记证书所具有的公示公信力,为数据来源合规性与权利状态 提供了权威背书,成为构建数据交易信任机制的重要桥梁。例如,浙江省率先规定,数据知识产权登记 证书可以作为数据流转、交易、权益保护的初步凭证,这一实践为全国范围内建立数据交易信任机制提 供了有益探索。 再次,登记制度还是激活人文经济市场新动能的"助推器"。我国的人文数据资源丰富、潜在价值巨大, 却长期面临开发利用难、价值评估难、产业转化难的瓶颈。数据知识产权登记通过为这类经 ...
广东:建设公共数据运营平台 鼓励各地结合实际开展公共数据授权运营
Mei Ri Jing Ji Xin Wen· 2026-02-02 02:48
(文章来源:每日经济新闻) 每经AI快讯,广东省发展改革委网站2月2日消息,广东省发展改革委印发《广东省2026年优化市场化 一流营商环境工作方案》,其中指出,释放数据要素活力。建立公共数据共享开放需求受理反馈机制, 动态优化"开放广东"平台数据开放目录,推进企业登记、交通、地理、卫星遥感、气象、教育、医疗卫 生等高价值数据集依法依规分类开放。建设公共数据运营平台,鼓励各地结合实际开展公共数据授权运 营。完善法人数字空间功能,建设"一企一档",支持企业建设企业可信数据空间,推进数据资源入表, 支持行业可信数据空间建设。构建个人和组织的可信数字身份和数据账户。分类引育综合型和专业型数 据企业超500家,提升数据资源供给、数据技术、数据合规咨询、资产评估等第三方服务质效。 ...
恒业资本江一:AI未来核心增长点是“跨技术融合”,将诞生一批独角兽企业
Xin Lang Cai Jing· 2026-01-23 10:26
Core Insights - AI has transitioned from a laboratory concept to an omnipresent tool that can write articles, compose music, design, program, schedule in enterprises, inspect in factories, teach in classrooms, and diagnose in hospitals, effectively reducing costs for businesses and creating opportunities for entrepreneurs and investors [1][5] Industry Trends - The logic of profitability has shifted from "scaling" to "efficiency," with AI becoming the commercial core that addresses pain points across various industries, supported by a new synergy among policy, capital, industry, and social acceptance [3][7] - The current phase of AI integration into industries is the third stage, where service applications are central to AI's value release [3][7] - Future technological integrations, such as blockchain with AI, quantum computing with AI, and brain-computer interfaces with AI, are expected to create new business opportunities and potentially lead to the emergence of unicorn companies [3][7] AI Demand and Data Trends - Global AI computing power demand is projected to reach 10^23 FLOPS by 2024, which is 1 million times the total global computing power in 2010, and is expected to grow to 10^26 FLOPS by 2027, a 1000-fold increase in three years [3][7] - Data is viewed as the "oil" of AI, with four key trends anticipated: 1. Data assetization will become a core strategy for companies, with over 50% of listed companies expected to disclose data asset values in their financial reports by 2026 2. The data factor market will mature, transitioning from non-standard to standardized trading 3. Privacy computing technologies like federated learning and differential privacy will be widely adopted to address the "data usable but invisible" issue 4. Synthetic data will become a significant supplement, with its share in AI training expected to exceed 25% by 2027 [3][7] AI Implementation Framework - A five-layer architecture for AI implementation has been proposed, encompassing resource access, data management, Data & AI engineering, intelligent applications, and security operations, which has shown significant effectiveness in large and medium-sized enterprises, reducing project delivery cycles by over 50% and greatly increasing customer renewal rates [4][8] - It is anticipated that over 80% of large and medium-sized enterprises will adopt similar architectural frameworks to build AI infrastructure in the next three years [4][8]
赛迪顾问报告:2025年中国数据要素市场规模突破1000亿元
Zhong Guo Jin Rong Xin Xi Wang· 2026-01-20 14:16
Core Insights - The Chinese data factor market is experiencing robust growth, with projections indicating that the market size will exceed 100 billion yuan by 2025 [1] Group 1: Market Drivers - Recent policies and regulations in China have been introduced to support the market-oriented allocation and high-quality development of data factors, providing a solid institutional guarantee for the market's evolution towards standardization and scaling [1] - Local governments are actively piloting public data authorization operations and accelerating the cultivation of data trading service institutions, which provide replicable and promotable practical cases for the supply and circulation of data factors [1] Group 2: Application and Innovation - The accelerated digital transformation across various industries is generating vast amounts of data, which enriches the resources available for data product development [1] - The emergence of data businesses that actively integrate into the innovative development of data factors is crucial for unlocking the potential of data elements by offering diverse data services and solutions [1]
广州数据交易所2026年生态伙伴赋能合作交流会成功举办
2 1 Shi Ji Jing Ji Bao Dao· 2026-01-16 12:03
Core Insights - The "Data Alliance Co-creating the Future" conference held in Guangzhou aims to enhance collaboration among partners in the data industry, promoting resource sharing and cross-industry cooperation to explore new business directions in the data factor market [1] Group 1: Conference Objectives and Plans - The Guangzhou Data Exchange's General Manager highlighted that 2025 is designated as the "Reform Year" for the data factor market, with a focus on building a "2+10+N" service system and a "three merchants" ecosystem [3] - The 2026 plan is termed the "Year of Data Factor Value Release," aiming to deepen ecological cooperation and enhance empowerment mechanisms, particularly in public data sectors [3] - The "Data Gathering Together 2026" plan aims to recruit 30-50 key ecological partners to achieve dual breakthroughs in activating existing resources and attracting new ones [3] Group 2: Service System and Recognition - The conference introduced the Guangzhou Data Exchange 2.0 service system, which includes ten standardized products covering data factor market needs such as data property registration and data asset securitization [3] - Over 40 enterprises were recognized for their outstanding contributions in various categories, including "Excellent Data Products" and "Excellent Suppliers" [4] Group 3: Compliance and Ecosystem Development - A forum on compliance business expansion discussed the focus areas for 2026, including creating a one-stop data compliance service solution and enhancing collaboration in data compliance talent development [6] - The Guangzhou Data Exchange has gathered over 4,500 ecological members, covering all provinces and regions in China, and aims to foster a collaborative ecosystem that integrates the real economy with the digital economy [6]
“从经验判断到科学计算,数据产品定价不再拍脑袋”(奋进“十五五”·一线见闻)
Ren Min Ri Bao· 2026-01-09 00:17
Core Viewpoint - The establishment of a national integrated data market is crucial for enhancing data resource development and utilization, as exemplified by the operations of the Guiyang Big Data Exchange, which facilitates efficient data transactions and value creation [1][2]. Group 1: Data Market Development - The Guiyang Big Data Exchange has transformed data into a core asset that can be traded and appreciated, bridging the gap in data flow [2]. - The exchange has developed a comprehensive trading service system, including compliance registration, evaluation pricing, demand matching, and payment settlement [3]. - Over a thousand data vendors and more than 2,400 products are now available on the platform, enabling efficient supply-demand matching [3]. Group 2: Data Transaction Process - A company from Guangdong successfully engaged with the Guiyang Big Data Exchange to procure data analysis services, leading to a cautious yet fruitful first data transaction [3][4]. - The introduction of a data product pricing calculator by the exchange provides a credible price range for data products, enhancing negotiation efficiency and unlocking data value [4]. Group 3: Business Expansion and Future Prospects - The company completed its first transaction worth 1.039 million yuan, establishing a long-term partnership that aims to optimize service capabilities and expand business [5]. - A new project focused on rural revitalization through AI-generated short videos is underway, indicating the company's ambition to evolve into a data vendor [6].
广东企业赴贵州寻求数据服务—— “从经验判断到科学计算,数据产品定价不再拍脑袋”(奋进“十五五”·一线见闻)
Ren Min Ri Bao· 2026-01-08 23:01
Core Viewpoint - The establishment of a national integrated data market is crucial for enhancing data resource development and utilization, as exemplified by the operations of the Guiyang Big Data Exchange [1][2]. Group 1: Data Trading and Market Development - The Guiyang Big Data Exchange has transformed data into a core asset that can be traded and appreciated, facilitating efficient supply and demand matching within a short time frame [2][3]. - The exchange has developed a comprehensive trading service system, including compliance registration, evaluation pricing, demand matching, and payment settlement, with over a thousand data vendors and more than 2,400 products available [3][4]. Group 2: Data Service Utilization - A company engaged in edge computing and smart hardware development successfully utilized the exchange to procure data analysis services, which significantly improved the efficiency of processing operational logs [3][4]. - The company has entered into a long-term contract for data services, with transaction amounts ranging from hundreds of thousands to over a million yuan, indicating a growing reliance on data for business optimization [5]. Group 3: Pricing Mechanism - The Guiyang Big Data Exchange introduced a data product pricing calculator to provide credible price ranges for data products, enhancing negotiation efficiency and unlocking data value [4][5]. Group 4: Future Prospects - The company plans to develop its own large model for data processing, aiming to transition from a buyer to a seller in the data market, reflecting the evolving role of data as a production factor and productivity driver [5][6].
周鸿祎建言“数据安全治理”,提案入选全国政协好提案
Xin Lang Cai Jing· 2026-01-08 07:16
Core Viewpoint - The proposal by Zhou Hongyi, founder of 360 Group, focuses on constructing a data circulation security infrastructure platform to support the high-quality development of digital China, addressing core pain points in data circulation security [1][2][3] Industry Growth - The establishment of the National Data Bureau and the implementation of foundational systems are leading to explosive growth in China's data factor market, with the national data market transaction scale expected to reach 160 billion yuan in 2024, representing a year-on-year growth of over 30% [1][2] - The on-site market transaction scale has doubled, indicating a significant increase in data circulation activities [1][2] Security Challenges - As data circulation scales expand, security challenges are becoming increasingly severe, with Zhou identifying three major shortcomings in current data security governance [3] - Many market entities adopt isolated protection models, leading to "information islands" and weak overall situational awareness [3] - There is a lack of unified security construction and operational standards across regions, resulting in resource waste due to redundant investments [3] - The absence of cross-industry and cross-regional coordination mechanisms makes it difficult to respond to complex threats such as APT attacks [3] Proposed Solutions - Zhou's proposal includes three key recommendations to address the identified pain points [2][3] - Construct a data circulation security infrastructure platform to break down "information islands" and establish a comprehensive security monitoring mechanism [2][3] - Develop unified security standards to regulate access certification, data desensitization, and ensure controlled circulation throughout the process [2][3] - Create a multi-entity collaborative operation system to integrate resources from regulatory bodies and data supply and demand sides, achieving dynamic lifecycle management [2][3]
金融科技板块尾盘拉升,软件ETF指数(560360)涨超2%冲击8连涨
Xin Lang Cai Jing· 2026-01-06 07:11
Group 1 - The financial technology sector experienced a significant rally, with the China Software Service Index rising by 2.42% and individual stocks like Tonghuashun and Wealth Trend increasing by 9.60% and 9.53% respectively [1] - The People's Bank of China announced that starting January 1, 2026, digital yuan wallet balances will earn interest, making China the first economy to offer interest on central bank digital currency [1] - The National Bureau of Statistics released a draft opinion aimed at enhancing data circulation service capabilities by the end of 2029, which is expected to stimulate the data factor market and improve data utilization across society [1] Group 2 - The domestic information technology innovation (信创) industry is rapidly developing under dual policy and market drivers, with a strategic layout covering key sectors such as government, finance, energy, and transportation [2] - The market for information security is projected to grow at a compound annual growth rate of 35%, potentially reaching 16.6 billion yuan by 2027, with initial applications in boundary security, endpoint security, and cloud security [2] - As of December 31, 2025, the top ten weighted stocks in the China Software Service Index include Keda Xunfei, Kingsoft Office, and Tonghuashun, collectively accounting for 60.89% of the index [2]