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RWA代币化规模激增410%,真实世界资产或成加密领域下一个风口
Guan Cha Zhe Wang· 2025-08-07 14:55
Group 1: Core Insights - The rapid evolution of financial technology is reshaping global economic dynamics, impacting the future of dollar hegemony and China's strategic choices in the digital finance era [1][2] - The discussion at the high-end salon in Shanghai focused on key topics such as stablecoins, blockchain technology applications, and data assetization, revealing the latest trends and challenges in the fintech sector [1][2] Group 2: Stablecoins - Stablecoins represent a significant turning point in the history of cryptocurrencies, addressing issues like volatility, impact on fiat currency systems, and potential for illegal activities [2][5] - Currently, 99% of stablecoins are pegged to the US dollar, which is significantly higher than the dollar's 50% share in global payments, indicating the US's strategic advantage in expanding dollar dominance [2][5] - The potential risks associated with large-scale stablecoin issuance could marginalize traditional banking systems, reminiscent of the chaotic banking landscape in 19th century America [2][5] Group 3: China's Perspective on Stablecoins - For China, stablecoins present both challenges and opportunities, with the potential for a digital RMB stablecoin to navigate issues like SWIFT sanctions and the safety of US debt assets [5][9] - Hong Kong is identified as the optimal testing ground for a digital RMB stablecoin, allowing exploration of internationalization pathways while minimizing impacts on the mainland financial system [5][9] - The regulatory approaches in the US and Hong Kong differ significantly, with the US adopting a more lenient functional regulation compared to Hong Kong's stringent requirements [6][9] Group 4: Blockchain Technology - Blockchain technology is seen as a foundational element driving fintech transformation, addressing trust issues in the digital economy [10][11] - The Tree Graph public chain system, developed with independent intellectual property, has achieved a transaction throughput of 3,000 transactions per second, significantly outperforming Bitcoin and Ethereum [10][11] - The integration of blockchain with real-world assets (RWA) is crucial for enhancing settlement efficiency and the credibility of smart contracts [10][11] Group 5: Data Assetization - Data has been recognized as the fifth production factor, marking a new phase in digital economic development, yet challenges in data rights, pricing, and compliance remain [11][12] - The market for RWA has seen explosive growth, increasing from $5 billion in 2022 to an estimated $25.51 billion by 2025, representing a 410% growth rate [12][14] - The successful assetization of data requires collaboration across various sectors, including exchanges, evaluation agencies, and financial institutions [13][14]
从“资源”变“资产”:数位大数据核心数据产品成功入表,获得银行授信贷款
记者从深圳数位大数据科技有限公司(以下简称"数位大数据")获悉,其核心数据产品成功通过数据资产 化认证,并凭借该资产获得银行授信贷款。与此同时,公司正式入驻陕西丝路数据交易平台及贵州省数 据流通交易服务中心。此次突破是继成功上线浙江、厦门大数据交易中心后,数位大数据在数据要素流 通领域的又一重要里程碑。 作为国内少数具备"数据采集—处理—分析—应用"全链路能力的AI大数据企业,数位大数据坚持十年线 下全域数据积累,构建了不可复制的"动态商业数据库"。通过自研地理信息采集系统与AI算法,数位大 数据精准刻画了全国300余个城市超1.2亿条POI数据,覆盖门店级位置、客流动线、存活周期等1000+维 度的稀缺字段,填补了传统公开数据的空白。 广东数联数据要素有限公司正是认准数位大数据持有数据价值,运用其数据资产金融变现能力,成功为 数位大数据实现数据资源化、资产化、资本化全链路服务,联手交通银行深圳学府支行为全国民营企业 数据资产融资变现落地再添新案例。除数据资产入表及银行融资成熟能力外,广东数联在数据资产专项 债、数据资产证券化、地方政府公共数据运营及可信数据空间等方面也均有落地能力。 此次入驻两大交易平台,数 ...
数字经济双周报(202507第2期)-20250731
Yin He Zheng Quan· 2025-07-31 10:00
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]
易华录:“易资大模型”成功入选“数据要素×AI+行业应用典型案例”
日前,全球人工智能领域最具影响力的行业盛会——世界人工智能大会(WAIC 2025)启幕。大会期 间,由中国信息协会主办的"数据要素x人工智能+赋能行业高质量发展"论坛正式举行,现场发布了"数 据要素×AI+行业应用典型案例",易华录(300212)重磅推出的"易资大模型"成功入选。 据介绍,作为聚焦数据资产化垂直领域的行业专用大模型,"易资大模型"以破解"认知难、效率低、价 值释放不足"痛点为目标,通过"四层协同+双体系保障"架构(涵盖硬件层、数据层、技术层、应用层及 安全保障、标准规范体系),深度融合数据要素与人工智能技术,构建起智能问答、数据洞察、知识管 理、智能体等核心能力。 "易资大模型"基于成功实践提炼"四化"知识体系,打造高质量"数据资产化行业语料库",可实现精准 SQL生成、图表可视化、知识抽取与推理、智能体自动化处理等功能,为数据资产入表、价值评估、流 通交易提供全流程智能支持,既助力政企客户高效合规开展数据资产化工作,也为服务商降低交付成 本、提升效率。 易华录方面表示,"易资大模型"精准聚焦数据资产化场景痛点,成功实现技术创新与行业痛点适配的关 键突破,为行业数据价值释放提供了极具可复制 ...
从RWA到RDA,真数据变真资产,物联网是数据资产化最佳推手
3 6 Ke· 2025-07-29 09:51
Core Viewpoint - The rapid development of data assetization is driven by the integration of the Internet of Things (IoT) and Real Data Assets (RDA), which is reshaping the industrial logic of data assetization [1][2][5]. Group 1: Data Assetization and RDA - RDA (Real Data Assets) extends the concept of RWA (Real World Assets) by focusing on the authenticity verification and value enhancement of data, encapsulating operational data from physical assets to improve credit, transparency, and regulatory compliance [5][6]. - The true breakthrough of RDA is fueled by the real-time data continuously released by IoT devices, which serve as a natural "data mine" and "value factory" for RDA [7][8]. - RDA aims to complete the entire process of data ownership, value realization, and financialization, requiring data assets to have clear ownership, traceable sources, and continuous flow to participate in capital market transactions [8][9]. Group 2: Role of IoT in RDA - IoT enables real-time data collection from various physical assets, providing high credibility, strong relevance, and traceable foundational data for RDA, facilitating the transformation of data from a "resource" to an "asset" [7][8]. - The collaboration between IoT and RDA will gradually reveal its synergistic effects in specific application scenarios, such as dynamic transparency in battery lifecycle management and real-time operational data in offshore wind power maintenance [9][10]. Group 3: Financial Implications and Innovations - The integration of IoT, stablecoins, and RDA/RWA creates a closed-loop for machine economy, allowing devices to autonomously participate in value flow and enabling real-time settlement without traditional financial intermediaries [13][14]. - The emergence of stablecoins as a financial infrastructure will significantly enhance autonomous trading and automatic settlement among devices, improving industrial collaboration efficiency [14][15]. - The dynamic credit era will see IoT devices transition from passive data contributors to active data asset owners, leading to a transformation in asset valuation and credit assessment [16][17]. Group 4: Challenges and Future Outlook - The distributed nature of data asset circulation and pricing may introduce new risk management challenges, such as data falsification, necessitating the implementation of hardware trust mechanisms to ensure data authenticity [19][20]. - The evolution of data assetization and pricing power presents both challenges and opportunities for IoT companies, potentially allowing them to transition from "data producers" to "data bankers" [20][21].
释放数据要素价值,江苏省数字化协会成立数据资产专业委员会
Guo Ji Jin Rong Bao· 2025-07-25 13:35
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]
2024-2000年上市公司企业数据资产化指数测算数据、数据资产词频数据
Sou Hu Cai Jing· 2025-07-24 05:22
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].
稳定币+RDA,“领军黑马”获央行首批认证,潜力碾压恒宝、京北方!
Sou Hu Cai Jing· 2025-07-15 14:35
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]
珠海数据条例9月起施行,明确算力布局、数据跨境
Core Viewpoint - The introduction of the "Regulations on the Development and Utilization of Data Resources in Zhuhai Special Economic Zone" marks a significant step in promoting the market-oriented allocation of data elements and the high-quality development of the digital economy in Zhuhai, effective from September 1, 2025 [1][2]. Group 1: Legislative Framework - The regulations consist of six chapters and forty-three articles, covering general principles, data infrastructure, data resource development, data resource utilization, legal responsibilities, and supplementary provisions [1]. - The regulations aim to provide a solid legal foundation for the development and utilization of data resources in Zhuhai, leveraging the legislative power of the special economic zone [1][3]. Group 2: Data Infrastructure and Investment - The regulations include provisions for incorporating data infrastructure into key fiscal investment areas, gradually increasing overall investment levels, and establishing a multi-source investment mechanism involving finance, enterprises, and society [2][5]. - A unified public data management system will be established, focusing on both quantity and quality, to ensure effective management and service responsibilities [2][4]. Group 3: Data Flow and Utilization - The regulations promote a "registration first, authorization later" approach for public data, encouraging collaborative development of data application scenarios and innovation laboratories [2][5]. - There is a focus on supporting the construction of a digital trade international hub in the Hengqin Guangdong-Macao Deep Cooperation Zone, facilitating data processing trade and international data center operations [2][6]. Group 4: Future Development and Collaboration - Zhuhai plans to enhance cross-border service-oriented computing power clusters and improve backbone network speed and capacity, deploying 5G and all-optical networks to create a reliable data flow infrastructure [6][7]. - The city will explore cross-border data flow rules and strengthen exchanges with Hengqin and Macau, establishing a multi-level service network to reduce compliance costs for enterprises [7].
数字城市建设需谨防“技术崇拜”误区
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]