这是国家管网集团福建公司通过官方交易平台，以市场化流通方式完成的长输油气管道运营领域的数据 产品，标志着国有干线油气管网数据资源从"资源化"向"价值化"的重要跨越。 此次上架交易的高质量数据集为国家管网集团福建公司"漳州至泉州"管段分布式光纤声波传感数据，涵 盖数据资源总规模达150GB，经治理后可深度适配AI大模型训练需求。 通过对光纤振动异常信号的智能分析，可显著提高风险事件类型预警效率及准确率，有力确保油气管道 安全平稳运行。该数据集在长输油气管道、通信网络、电力系统、交通运输和城市安防等领域具有重要 应用价值。 据悉，国家管网集团福建公司主要负责国家管网集团在福建地区油气管网建设及运营管理，展现出传统 基础设施领域积极响应福建省"智改数转"战略导向的坚定步伐。通过推进数据资源向数据资产的系统性 转化，不仅提升了国家管网集团数据权威性，也为人工智能加速融入千行百业、实现深度赋能奠定了坚 实基础。（潘璇 明连勋 钟羿波） 央视网消息 国家管网集团福建公司管道光纤预警高质量数据集于8月22日在福建大数据交易所挂牌上 架，并实现首单交易。 8月22日，国家管网福建公司管道光纤预警高质量数据集在福建大数据交易所 ...

融资难、融资贵，症结何在？ 无数中小微企业被困在"数据迷雾"中，银行则苦于信息"盲区"。当传统金融模式遭遇数字时代，破局的关键，在于唤醒"沉睡"的数据金矿，构建全新的数 智生态。这不仅关乎企业的生存发展，更牵动着金融科技赋能实体的核心命题。 如何穿越迷雾，照亮盲区？↓↓↓ 当前，金融科技浪潮奔涌，银行业数智化转型已从"搭框架"迈入"深耕耘"的关键阶段。构建以"科技-产业-金融"为核心的良性循环，核心在于激活数据要 素的生命力，在多元、合规的场景中释放其价值。 在这一进程中，以AIGC为代表的前沿技术，正为银行业解决端到端的业务痛点提供全新思路。尤其在国家高度重视民营经济发展的当下，解决中小微企 业"融资难、融资贵"的顽疾，迫在眉睫。这不仅是政策导向，更是数智时代金融赋能实体经济的必答题。 > > 企业侧：数据迷雾深锁 1.财务体系薄弱：大量中小微企业依赖传统记账方式，财务流程较为粗放，现代化工具应用不足。据国家金融监督管理总局上半年统计，超60%的企业存 在财务报表不规范、信息透明度低的问题。 2.内控能力不足：财务制度执行乏力，人员专业度参差，缺乏有效审计监督。这导致企业与银行间的信息鸿沟日益加深，成为信任 ...

Core Insights - The article highlights the transformation of data into assets within the special needs rehabilitation sector, showcasing the pioneering efforts of Fumi Health in this domain [1][2][4] Group 1: Company Overview - Fumi Health, established in 2014, focuses on services for children with autism spectrum disorders and developmental disabilities [1] - The company has accumulated over 30,000 case assessment records, nearly 200 million intervention behavior records, and over 3 million supervisory decision records [1][3] Group 2: Data Assetization Process - Fumi Health has successfully registered its data products on the Zhejiang and Shaanxi data exchange platforms, receiving multiple certifications [1] - In March 2025, Fumi Health achieved the first instance of data asset financing in the industry, with its data assets valued at approximately 30.84 million yuan [2] - The company received a bank credit approval of 20 million yuan from the Shenzhen branch of the Bank of Communications for its data assets [2] Group 3: Data Quality and Utilization - The data collected by Fumi Health is characterized by its completeness, covering the entire lifecycle of special needs children's interventions [3] - The company has implemented a comprehensive data management system that ensures high-quality data collection, storage, and application for AI training [4][5] Group 4: Industry Context and Policy Influence - The establishment of the National Data Bureau in 2023 has accelerated the marketization of data elements, providing a favorable environment for Fumi Health's data assetization efforts [4] - The company aims to address industry challenges such as low standardization and high labor costs by leveraging AI technology and data assetization [4][6]

Core Insights - The data exchange market in China has rapidly evolved since 2015, with over 50 data trading institutions established by July 2025, and the trading scale projected to exceed 300 billion yuan by 2025 [2][4][19] - Data exchanges serve as a regulated marketplace for data, allowing for the standardized transformation of data products and facilitating compliance and quality assurance [3][5] - The market is characterized by a diverse range of participants, including government entities, data service providers, and large internet companies, with buyers spanning various industries such as finance, healthcare, and AI [5][6] Group 1: Market Development - The trading scale has grown from "billion-level" in 2015 to "trillion-level" by 2024, indicating significant growth in both quantity and quality of data transactions [2][19] - The market is expected to reach approximately 2.841 trillion yuan by 2025, with a compound annual growth rate of 46.5% from 2021 to 2025 [19][34] - The introduction of policies and frameworks, such as the "Data Element ×" three-year action plan, aims to enhance the coordination between on-site and off-site trading by 2026 [6][10] Group 2: Key Players and Institutions - Major data exchanges include Beijing International Data Exchange, Shanghai Data Exchange, Shenzhen Data Exchange, and Guizhou Data Exchange, which are leading the market [4][7][12][15] - By June 2025, Beijing International Data Exchange had achieved a trading scale of 2,250 TB, with an annual growth rate exceeding 200% [12] - Shanghai Data Exchange reported over 2,000 signed data merchants and a trading amount exceeding 50 billion yuan in 2024 [13] Group 3: Emerging Trends and Technologies - The data trading landscape is expanding into new fields such as AI model training, medical diagnostics, and scientific research, reflecting the increasing importance of data in driving technological and economic development [20][34] - The introduction of advanced technologies like blockchain and privacy computing is enhancing the security and traceability of data transactions [22][28] - Data assetization is becoming a significant trend, with projections indicating that the market for data assets will reach 8,278 billion yuan by 2030 [19][34] Group 4: Case Studies - Notable case studies include the successful assetization and financing of data by companies like BAIC New Energy and the implementation of the "U235" framework by Shanghai Data Exchange, which utilizes blockchain for transparency and efficiency [24][27] - Shenzhen Power Supply Bureau's data product for enterprise electricity behavior was successfully traded, showcasing the application of privacy computing in data transactions [31] - The collaboration between Southern Power Grid and a chemical group demonstrates the practical benefits of data trading in optimizing production and reducing costs [32]

Group 1: US AI Action Plan - The US AI Action Plan aims to establish global leadership in AI, focusing on "innovation-driven" and "deregulation" strategies to enhance market vitality and reduce development barriers[5] - Key policies include accelerating AI innovation, building AI infrastructure, and leading global AI order, with over 90 specific administrative orders outlined[6] - The plan emphasizes the importance of ensuring American workers benefit from AI advancements, creating high-paying jobs through infrastructure development[5] Group 2: Risks and Challenges for China - China faces risks of deepening technology blockades, with Nvidia holding a 66% market share in China's AI chip market, indicating reliance on US technology[9] - The US aims to export a "full-stack AI package" to allies, potentially sidelining Chinese technologies and creating a fragmented global AI ecosystem[13] - Infrastructure gaps in AI capabilities may widen, as the US accelerates data center and energy infrastructure development to meet AI demands[16] Group 3: Global AI Governance and Cooperation - China released the "Global AI Governance Action Plan," advocating for an inclusive and sustainable global AI governance framework, emphasizing cooperation among developing countries[19] - The plan includes 13 key tasks, such as technology innovation and data governance, aiming to unify international rules and enhance participation from the Global South[20] - Local policies in China are rapidly emerging to build regional data industry systems, with Jiangxi aiming for a 20% annual growth in data industries by 2027[21] Group 4: AI Infrastructure Investments - Major US companies, including Google and Meta, are investing significantly in AI infrastructure, with Google planning to invest $25 billion in data centers and AI facilities[33] - Trump's administration announced a $90 billion investment plan for AI and energy infrastructure, focusing on new data centers and power generation facilities[31] - The establishment of the National AI Research Resource (NAIRR) aims to provide open AI research resources, enhancing collaboration in scientific fields[35]

Group 1 - The establishment of the Jiangsu Data Asset Professional Committee aims to promote the process of data assetization and support the high-quality development of the digital economy [1] - Jiangsu Province has made significant breakthroughs in market-oriented reform of data elements, integration of data and reality, and transformation of smart cities, but faces key bottlenecks in data asset confirmation, pricing, and circulation [3] - The committee is expected to act as a think tank to support government policy decisions, promote advanced industry cases, and build a platform for government-enterprise-academia-research collaboration [3][4] Group 2 - The committee's work will focus on exploring effective policy implementation, integrating resources, and promoting value innovation throughout the data asset process [4] - A new index called the "China Data Asset Ecological Intelligence Index" will be launched to activate data element potential and drive industrial transformation [4] - The emphasis will be on creating a new service system centered around standards, talent, activities, platforms, and industry self-discipline to support the healthy and sustainable development of the industry [4]

Core Insights - The article discusses the calculation of the data assetization index for listed companies from 2000 to 2024, highlighting the methodology and the scope of the data collected [1][2]. Methodology - The calculation method is based on research from a top journal, utilizing annual reports from 1999 to 2024 to create panel data, which includes text length and a digital terminology dictionary [1]. - A total of 221 terms related to data assetization were identified, including both self-use and transaction-type data assets [1]. Data Scope - The dataset encompasses 68,000 samples from over 5,700 companies, providing original data frequency, video recordings of the process, and final calculation results for verification [1][2]. - The data is claimed to be 100% accurate and original, compiled by professional researchers without any profit motive [2]. Frequency Statistics - The total word count in annual reports has shown fluctuations over the years, with 70,402 words recorded in 2024, compared to 68,490 in 2023, indicating a growth trend [3]. - The data assetization index for 2024 is reported as 61, with previous years showing varying indices, such as 16 in 2023 and 90 in 2022 [3].

Core Insights - Stablecoins are becoming the "core infrastructure of global trade," with RDA (Real Data Assetization) expected to be a highly explosive direction [1][5] - The National Financial Development Research Center has proposed that Shanghai and Hong Kong will simultaneously launch offshore RMB stablecoin pilot programs to break through regulatory constraints [3] - Shanghai is anticipated to become a major support for Hong Kong, allowing the stablecoin market to expand from an initial scale of 1.8 trillion yuan to several tens of trillions [4] RDA and Digital Assetization - RDA is a unique model developed in China, focusing on the value of operational data from physical assets, making data tradable and financeable [5] - The Shanghai State-owned Assets Supervision and Administration Commission has explicitly requested the promotion of asset digitalization, positioning RDA as the core direction for stablecoin data infrastructure [6] Key Companies Expected to Experience Explosive Growth - The first company is Tuolsi, a leader in NLP technology, which excels in extracting value from unstructured data and provides RDA processing services for financial institutions, holding a first-mover advantage in the data assetization field [7][8] - The second company is Annie Co., a leader in copyright confirmation in China, utilizing blockchain notarization technology to ensure the credibility and security of RDA, possessing a strong competitive moat in the data asset confirmation sector [9] - The third company is a leading "dark horse" in the stablecoin and RDA space, leveraging "blockchain + digital watermark" technology to establish a comprehensive data confirmation and traceability system, ranking among the top tier in RDA packaging. It has received strategic support from the Shanghai Data Exchange and the Central Bank Digital Currency Research Institute, aiming to challenge the pricing power of US dollars in commodity markets. Recently, social security funds and foreign institutions have collectively increased their holdings by 10 million shares, indicating strong institutional confidence [10]

Group 1 - The core theme of the recent Global Digital Economy Conference is "Building Digital Friendly Cities," emphasizing the importance of global digital economic cooperation and the challenges faced by major cities in China, such as Beijing, Shanghai, and Shenzhen, in becoming global benchmarks for digital economy [1] - The transformation of digital cities is now a strategic mission aimed at enhancing national competitiveness and modernizing governance, moving beyond mere technological applications to a focus on public value [1][2] - The relationship between value and technology is crucial, where technology should serve as a means to solve urban issues and enhance citizen welfare rather than being an end in itself [2] Group 2 - The development of digital cities must address the new contradictions and core relationships, particularly focusing on data value attribution, distribution, and realization [3] - The process of data value realization involves three stages: data resourceization, data assetization, and data capitalization, each addressing different aspects of data management and economic value creation [3][4] - Cities should adopt data value management as a top-level strategy, establishing clear data ownership and efficient circulation systems, exploring equitable data revenue distribution models, and creating mechanisms for data value release driven by real-world applications [4]

Group 1 - The core strategy of Lixia District is to implement the "Industrial Strong City Development Strategy," focusing on the development of electronic information and modern medicine industries [1] - The software industry in Lixia District is projected to reach a scale of 80 billion yuan in 2024, with a year-on-year growth of over 15% [1] - The district has established nearly 8,000 5G base stations, achieving deep coverage of 5G network signals [1] Group 2 - Jinan KJ Information Technology Co., Ltd. aims to be an "advanced digital construction operator," focusing on new infrastructure, artificial intelligence, and integrated management [2][10] - The company has been recognized as a "provincial-level specialized and innovative small and medium-sized enterprise" and a "provincial-level new data center pilot unit" [2] - The AI platform "One Network Management" has been selected as a typical case for digital transformation in Jinan [2] Group 3 - The Jinan Artificial Intelligence Computing Center, with an investment of 695 million yuan, has begun operations with an initial computing power of 100P [4] - The center integrates seven AI application assistants to provide full-cycle services for industries such as biomedicine and intelligent manufacturing [4] - The company has developed a product for enterprise registration information queries, which is now available on the Jinan public data operation platform [4] Group 4 - KJ Information continues to deepen its digitalization efforts, creating a leading domestic operational system that integrates various data sources [6] - The company has successfully connected its city management platform to 11 district systems, aggregating 15.3 million data entries across five major areas [6] - The self-developed "KX Cloud Warehouse" product offers modular design and low-code technology for various operational scenarios [6] Group 5 - The launch of the "KX Data Warehouse" and "Average Effect" management service platform aims to enhance the value of data assets and empower regional economic development [8] - The company is focused on optimizing computing center operations and promoting domestic computing services for enterprises across the province [10] - Future plans include exploring cutting-edge technologies such as smart city management and autonomous driving [10]