（於中華人民共和國註冊成立的股份有限公司） 香港交易及結算所有限公司及香港聯合交易所有限公司對本公告的內容概不負責，對其準確性 或完整性亦不發表任何聲明，並明確表示，概不就因本公告全部或任何部分內容所產生或因依 賴該等內容而引致的任何損失承擔任何責任。 Jiangxi Rimag Group Co., Ltd. 江西一脈陽光集團股份有限公司 （股份代號：2522） 自願公告 完成首批數據交易 茲提述江西一脈陽光集團股份有限公司（「本公司」）日期為2025年4月2日的公告 （「該公告」），內容有關本公司首批在上海數據交易所上架的CT胸部病變標注數據 （「數據集」）。除另有說明外，本公告所用詞彙與該公告所界定者具有相同涵義。 董事會欣然宣佈，於2025年8月25日，數據集正式通過北京國際大數據交易所 （「北數所」）合規審核並成功上架（上架產品號：PD2025082117370118）。本公司 的附屬公司北京一脈信息作為數據提供方，與一家從事數據技術及應用的公司 （「數據使用方」）及北京國際大數據交易所有限責任公司訂立了數據交易三方合作 合同（「數據交易三方合作合同」），並於2025年9月1日本集團根據數據交易三方 ...

Group 1 - The 2025 China International Big Data Industry Expo concluded with over 1,300 new products, technologies, and solutions showcased, attracting 91,000 visitors [1] - The theme of the expo was "Data Aggregates Industrial Momentum, Intelligent Development New Chapter," highlighting the integration of data elements and artificial intelligence technologies [1] - More than 16,000 guests registered for the event, with 375 domestic and foreign companies participating [1] Group 2 - The expo featured 26 exchange activities, sharing cutting-edge theories and innovative practices, along with industry competitions, supply-demand matching, and business negotiations, resulting in several project signings [2] - Since its inception in 2015, the expo has adhered to the principles of "global vision, national strategy, industrial perspective, and corporate stance," evolving into an international platform for innovation trends, industry achievements, and open cooperation in the data field [2]

Group 1 - The Guizhou Provincial Government has issued policies to encourage the development of the data industry, focusing on supporting the cultivation of characteristic industries [1] - The policies aim to seize opportunities in artificial intelligence and the marketization of data elements, promoting the development of the data labeling industry and facilitating supply-demand matching [1] - There is an emphasis on nurturing and expanding cloud services as a primary industry, including operations and services related to computing power centers [1] Group 2 - The policies encourage innovation and industrial application of artificial intelligence technologies, providing legal and regulatory support for self-developed models or algorithms that are filed with the cybersecurity department [1] - There is a push to accelerate the research and industrialization of digital products such as film rendering, animation, and gaming [1]

Core Viewpoint - The establishment of the "Artificial Intelligence and Financial Big Data Division" by Gao Weida is a strategic response to the evolving landscape of AI and financial technology, aiming to drive business transformation and innovation in the financial sector [1][2]. Group 1: Business Direction and Market Positioning - The new division focuses on three major business directions: compliant applications of stablecoins, AI-driven financial agents, and the marketization of data elements, which are identified as key growth areas in the financial technology sector for 2025 [2][3]. - By concentrating on these high-growth areas, Gao Weida aims to avoid saturated traditional business segments and directly address the pressing needs of financial institutions, thereby facilitating rapid business implementation and profitability [2][3]. Group 2: Technological Innovation and Business Model Transformation - Gao Weida's shift from a "service provider" to a "technology enabler" reflects a fundamental change in its business logic, emphasizing the development of reusable and scalable innovative products rather than custom software solutions [3][4]. - The integration of blockchain technology, AI, and data elements creates a synergistic closed loop that enhances overall competitiveness and mitigates risks associated with individual business lines [3][4]. Group 3: Specific Business Initiatives - The stablecoin initiative aims to leverage existing blockchain technology to create a standardized payment system that offers real-time transactions with lower fees compared to traditional cross-border payments [4][5]. - The focus on developing a financial AI product matrix and an AI agent platform aligns with the trend of evolving AI applications in finance, transitioning from simple tools to sophisticated agents capable of complex tasks [5][6]. - The establishment of a data element product and trading system responds to the urgent market demand for compliant data circulation and value extraction, while the adoption of a revenue-sharing model replaces traditional project delivery, fostering long-term client relationships and sustainable cash flow [6][7].

Core Perspective - The city of Datong is undergoing a transformation from a coal-centric economy to a data and computing power-driven economy, aiming to become a "computing power city" by leveraging its resources and infrastructure [1][2]. Group 1: Transition from Coal to Computing Power - Datong, once known as a coal city, is now focusing on sustainable development by shifting its economic model from "coal and electricity" to "computing power and services" [2][7]. - The transformation began seven years ago, with the establishment of the first large-scale computing power project in 2018, driven by favorable local conditions such as climate and energy supply [2][3]. Group 2: Investment and Infrastructure Development - Datong has attracted significant investments in computing power infrastructure, with over 282 billion yuan invested in various projects, including data centers and computing power bases [3][5]. - The city has established a robust computing power ecosystem, with a total of 32.6 million standard racks and 736,000 operational servers, achieving a computing power scale of nearly 25,000 P and an IT capacity exceeding 810 MW [3][5]. Group 3: Economic Impact and Future Goals - The computing power industry is projected to generate 46.7 billion yuan in revenue by 2024, with a target of exceeding 100 billion yuan by 2027 [5]. - The integration of computing power into various sectors, including traditional industries like coal mining, is expected to enhance efficiency and promote high-quality economic growth [6][7]. Group 4: Ecosystem Development - Datong is focusing on building a complete computing power industry chain, including local production of servers and related equipment, to strengthen its industrial base [4][5]. - The city aims to leverage its geographical advantages to serve as a hub for computing power demand from the Beijing-Tianjin-Hebei region, enhancing its role in the national computing power landscape [3][4]. Group 5: Cultural and Historical Integration - The digitalization of cultural heritage, such as the Yungang Grottoes, is being supported by the computing power infrastructure, providing data for archaeological research and preservation [6][7]. - The integration of computing power into cultural tourism is seen as a key area for growth, showcasing the multifaceted benefits of this transformation [6][7].

Core Viewpoint - 瑞和数智 (03680.HK) reported a significant turnaround in its financial performance for the first half of 2025, achieving a profit after a loss in the previous year, driven by strategic business adjustments and cost reduction measures [1] Financial Performance - The company achieved revenue of approximately RMB 120 million with a gross margin of about 7.6% for the first half of 2025 [1] - The profit attributable to shareholders was approximately RMB 43.186 million, compared to a loss of about RMB 36.04 million in the same period last year, marking a year-on-year turnaround [1] - Basic and diluted earnings per share were approximately RMB 0.0628 [1] - Net income for the first half of 2025 was approximately RMB 41.098 million, compared to a net loss of about RMB 38.635 million in the first half of 2024 [1] Key Drivers of Profitability - The main reasons for the reported profit include: 1. The company held 15 million shares of Tokyo Central Auction (01939.HK), recognizing a fair value gain of approximately RMB 63.015 million [1] 2. The company implemented significant cost reduction measures, leading to a decrease in R&D expenses, administrative costs, financing costs, and sales expenses compared to the same period last year [1] Strategic Focus - The company aims to strengthen its core business foundation in the financial industry and consolidate its leading position in data intelligence and marketing technology [1] - The development philosophy is centered around "data foundation, intelligent drive, and innovation empowerment" [1] - The company is actively exploring emerging fields such as Web 3.0, digital assets, marketization of data elements, domestic innovation, integrated hardware and software, and value investment [1] - Through a diversified development strategy, the company seeks to achieve structural optimization and sustainable growth [1]

Core Insights - The 2025 China International Big Data Industry Expo aims to promote efficient aggregation and utilization of data resources, driving industrial transformation and high-quality economic development [1] - The event serves as a global platform for showcasing data achievements, facilitating technical exchanges, and fostering collaboration between academia and industry [6] Digital Transformation - Digital transformation has shown effectiveness in various sectors, categorized into four tiers: - First tier includes industries like internet, finance, and commerce, where digital transformation is deepening and broadening [2] - Second tier encompasses meteorology, healthcare, and transportation, with increasing data application [2] - Third tier involves government services and high-end manufacturing, still in the early stages of data utilization [2] - Fourth tier consists of SMEs and agriculture, where data resources are underutilized [2] Data Element Marketization - Data is a new type of production factor, facing challenges in rights confirmation, pricing, and trading due to its unique characteristics [3] - The uncertainty of data value complicates its pricing and market transactions [3] High-Quality Data Sets - Constructing high-quality data sets for AI applications is essential for realizing the value of data elements [4] - The data industry chain includes data resource supply, high-quality data set production, and application across various sectors [4] Infrastructure Challenges - The explosive growth of data presents new challenges in storage, computing power, and algorithm optimization [5] - Key breakthroughs in technology are needed to address these challenges [5] Private Data Security - Private data security is a critical bottleneck in building high-quality data sets, with 80% of global data being non-circulating [5] - Ensuring the safe and efficient circulation of private data is a universal issue that needs to be addressed [5] Role of the Expo - The expo plays a significant role in leading industry technology directions and promoting the application of cutting-edge technologies [6] - It facilitates collaboration between educational institutions and enterprises, enhancing the integration of education and industry [6] - The expo encourages cross-regional and cross-sector collaborative innovation [6] Future Optimization - Future expos should emphasize the construction of high-quality data sets for AI applications and traditional industry digital transformation [7] - Establishing a national data infrastructure to ensure safe and efficient data circulation is crucial for achieving "data freedom" [7] Long-term Vision for Guizhou - The expo aims for Guizhou to become a leading hub for data technology and policy, with aspirations to be a model for data application and security [8]

Core Insights - The first "Mengdian Tong" special electricity fee loan was successfully launched in Inner Mongolia, marking a significant step for small and micro enterprises in the region [1][2] - The loan product is designed to alleviate financial pressure on businesses by utilizing electricity usage data and payment records as credit assessment criteria, rather than relying on fixed asset collateral [1][2] Group 1 - The signing ceremony involved representatives from Inner Mongolia Electric Power Group, China Construction Bank, and Wuhai Changhong Mining Co., Ltd., which successfully secured a 2 million yuan loan to cover electricity fees [1] - The "Mengdian Tong" loan offers advantages such as low interest rates, long terms, quick approval, and flexible repayment methods, enhancing cash flow for enterprises and improving electricity fee recovery rates for the power supply department [1] - The initiative is seen as a win-win for the banking, electricity, and enterprise sectors, as it releases significant liquidity for businesses while ensuring better recovery of electricity fees [1] Group 2 - Thirteen small and micro enterprises, including Wuhai Hairong Mining Co., Ltd. and Inner Mongolia Baohong Chemical Technology Co., Ltd., have shown interest in the "Mengdian Tong" loan due to their stable electricity demand and strong credit profiles [2] - The "Mengdian Tong" initiative represents an innovative exploration by the power supply department to leverage electricity data, transforming intangible data into tangible credit, thus activating the financial value of electricity data [2] - This approach promotes the marketization of data elements in the inclusive finance sector, allowing businesses' operational records to serve as credit credentials for financing [2]

Core Insights - The total number of 5G base stations reached 4.55 million by the end of June this year, with a data industry scale of 5.86 trillion yuan, marking a 117% increase compared to the end of the 13th Five-Year Plan [1] - The data production volume reached 41.06 zettabytes, with high-quality datasets exceeding 35,000 [1][4] - The data industry is becoming a new growth point for the digital economy, with significant market potential and a strong development momentum during the 14th Five-Year Plan period [2] Industry Development - The data industry encompasses various sectors including data collection, storage, transaction, utilization, governance, and infrastructure [2] - Data technology is rapidly evolving from business intelligence (BI) to artificial intelligence (AI), creating a new industrial ecosystem characterized by deep data mining and integration [2] - By 2024, the average R&D investment of listed data companies is expected to increase by 79% compared to the end of the 13th Five-Year Plan, with an annual growth rate of 15.7% [2] Regional Insights - The Yangtze River Delta has developed a multi-layered, full-chain data industry ecosystem, accounting for 22.6% of the national data industry scale by 2024, with over 100,000 data companies [2] - Major cities such as Beijing, Shanghai, Guangzhou, Shenzhen, and Hangzhou are attracting leading enterprises and innovation entities, showing a clear trend of industrial ecological clustering [3] Infrastructure Development - The construction of data infrastructure is crucial for resource supply and demand matching, with 25 city nodes established and 16 provinces covered [3] - Over 2,000 entities, including data exchanges and developers, have been integrated into the data infrastructure, supporting numerous application scenarios [3] Data Resource Management - The management and utilization of data resources have reached new heights, with a doubling of data production volume compared to the end of the 13th Five-Year Plan [4] - Policies have been implemented to enhance public data resource development and utilization, leading to a rapid increase in registered resources and services [4] Application Scenarios - The development of application scenarios is essential for data resource utilization, with 70 demonstration scenarios released across key industries [5] - Innovative applications in sectors like smart agriculture and healthcare are emerging, showcasing the practical benefits of data-driven solutions [5] Public Service Enhancement - Digital technology applications have significantly improved public service accessibility, with over 1 billion services provided through internet hospitals [6] - Social governance has become more efficient, with many processes now allowing for data sharing across departments, reducing the need for citizens to submit multiple documents [6][7] Future Directions - The focus will be on leveraging data elements to enhance public services, digital living, and social governance, aiming for more substantial outcomes in digital society construction [7]

数据产业主要包括数据采集汇聚、计算存储、流通交易、开发利用、安全治理和数据基础设施建设 及服务等业态，是促进数据要素市场化价值化的新兴产业。"十四五"期间，我国数据产业发展势头良 好、市场空间大，已成为数字经济发展的新增长点。 5G基站总数455万个、算力总规模位于全球第二，数据产业规模5.86万亿元、较"十三五"末增长 117%，数据生产量达到41.06泽字节，高质量数据集超过3.5万个……在国新办8月14日举行的"高质量完 成'十四五'规划"系列主题新闻发布会上，国家数据局局长刘烈宏表示，"十四五"期间，我国全面深化数 据要素市场化配置改革，加快数字化、绿色化协同转型发展，推动数字中国建设取得显著成就。 数字产业发展势头良好 "我们加快推进数据资源开发利用制度建设。"国家数据局副局长陈荣辉介绍，在公共数据方面，印 发了《关于加快公共数据资源开发利用的意见》，资源登记、授权运营、价格机制相关政策发布实施。 《政务数据共享条例》出台实施，省市两级制定公共数据授权运营相关政策超过87项，政务数据共享、 公共数据开发和授权运营更加规范和高效。国家登记平台登记的资源、产品和服务快速增长，目前已经 覆盖超过78个国民 ...