本报讯(记者聂伟)近日，记者从国家数据局举办的"数据要素×"系列第三场新闻发布会上获悉，今年4月 江苏统一的数据交易所挂牌运营，5个多月来已上架数据产品3933个，集聚数据商和第三方服务机构 1864家。 江苏省数据局党组副书记、副局长兼省发展改革委副主任李秀斌在会上答记者问时说，江苏贯彻国家顶 层设计，着力解决数据"不敢用、不够用、不好用"的矛盾和问题，让数据从"存起来"的资源，变成"用 起来"的工具、"活起来"的资产。 解决"制度不明不敢用"难题。国家出台"数据二十条"后，江苏战略性重构省市县三级数据管理体制，颁 布实施省级数据法规《江苏省数据条例》；配套出台公共数据授权运营管理办法、实施方案和资源登记 规范，明确"谁运营、怎么运营、怎么监管"；率先组建省级数据标准化委员会，贯彻《国家数据标准体 系建设指南》，加快推进标准化工作，从规范标准上推动扫清数据流通的障碍。 补强"数据不足不够用"短板。推进构建以公共数据"一本账"为标志的全省一体化数据资源体系，让数据 找得到、调得出。梳理了676项高价值数据，与国家同步上线数据资源登记平台，为数据应用提供优质 原料。 疏通"渠道不畅不好用"堵点。整合存量机构设立 ...

Group 1 - The Xiamen Municipal Government has issued a notification to promote high-quality development of the data industry, focusing on five key areas: infrastructure, industry layout, data circulation, application innovation, and development environment [1] - The notification includes 16 practical measures aimed at accelerating the construction of Xiamen Data Port and establishing a digital economy driven by data as a key element [1] - It emphasizes the construction of a data infrastructure support system and encourages enterprises to engage in various technological practices, including trusted data spaces and blockchain [1] Group 2 - The notification encourages the establishment of independent data business entities by leading industry companies and internet platform enterprises, fostering a diverse range of data operating entities [2] - It promotes the creation of a new paradigm for enterprise data circulation and enhances data governance capabilities by encouraging the establishment of Chief Data Officer roles and improving data resource management mechanisms [2] - The notification aims to stimulate data application innovation, expand data resource supply, and accelerate the development and utilization of public data [2]

Core Viewpoint - Shanghai Lingang reported significant improvements in operational performance, with a focus on sustainable growth and innovation in emerging industries [1][2][3][4][6][7] Financial Performance - The company achieved operating revenue of 2.74 billion yuan and a net profit attributable to shareholders of 331 million yuan, representing an 8.42% year-on-year increase [1] - The total assets reached 86.08 billion yuan, with net assets attributable to shareholders at 18.80 billion yuan [1] - The operating service revenue for the first half of the year was approximately 217 million yuan [4] - The company distributed cash dividends of 0.20 yuan per share, totaling about 504 million yuan, with a cash dividend ratio of 46.01% [6] Strategic Focus - The company is concentrating on three core sectors: integrated circuits, biomedicine, and artificial intelligence, while also targeting advanced fields such as humanoid robots and satellite internet [2][3] - It aims to enhance its operational capabilities through a composite model of "operational services + industrial investment + financial empowerment" [1][2] Investment and Development - The company is actively investing in innovative projects and has committed 800 million yuan to the Shanghai Pioneer Fund for artificial intelligence [4] - It has successfully completed REITs expansion issuance, which will help revitalize existing assets and promote innovative financing models [6] Innovation and Ecosystem - The company is developing innovation platforms such as the disruptive technology center and humanoid robot incubator to foster benchmark projects [2][3] - It is enhancing its role as an integrated service provider and total operator in the innovation ecosystem, focusing on long-term value creation for stakeholders [7]

Group 1 - The National Bureau of Statistics reported that 25 cities, including Beijing, Shanghai, Guangzhou, and Shenzhen, have established data circulation nodes, with infrastructure laid out in 16 provinces and cities, achieving full interconnectivity by the end of July [1] - In July, the national railway passenger volume reached 455 million, a year-on-year increase of 6.6%, while passenger turnover was 177.069 billion person-kilometers, up 5.7% year-on-year [1] - The People's Bank of China conducted a 128.7 billion yuan reverse repurchase operation with a 1.40% interest rate on August 14, and plans to conduct a 500 billion yuan six-month reverse repurchase operation on August 15 to maintain ample liquidity in the banking system [1] Group 2 - On Thursday, the stock index experienced high-level fluctuations, with the Shanghai 50 index rising by 0.59%, while the CSI 300 index fell by 0.08%, and the CSI 500 and CSI 1000 indices dropped by 1.2% and 1.24% respectively, with a total transaction volume of 2.3 trillion yuan [1] - The stock market saw a mixed closing, with most individual stocks declining, while insurance and semiconductor sectors led the gains, and military trade stocks were among the biggest losers [1] - The stock index futures showed mixed results, with the main contract IH2509 rising by 0.48%, while IF2509 and IC2509 fell by 0.02% and 1% respectively, indicating changes in trading volume and positions [1] Group 3 - The A-share market experienced a broad decline, with a transaction volume exceeding 2.3 trillion yuan, although large-cap indices showed resilience [1] - Most options products traded at high levels, with over 2 million contracts for 50ETF options traded in a single day, indicating active market participation [1] - The bond futures market saw a general decline, with the 30-year main contract dropping by 0.36% and the 10-year contract by 0.12%, reflecting a bearish sentiment in the bond market [1]

Core Insights - Eastern Airlines has independently developed and upgraded its external data sharing platform, which integrates industry resources and creates a data circulation hub covering all operational scenarios and the entire industry chain [1] Group 1: Platform Development and Integration - The platform has achieved integration with numerous entities, including regulatory authorities, airports, fuel suppliers, air traffic control, and inspection units [1] - The upgraded platform has transitioned from a decentralized system to a standardized interface for integration, improving code reuse rates and significantly reducing development costs while enhancing external integration efficiency [1] - Currently, the platform connects data covering 171 domestic airports and 99.8% of domestic inbound and outbound flights, integrating data from 16 airport agents [1] Group 2: Data Governance and Application - The platform has established a systematic data governance framework, creating an external data resource directory that includes standardized integration of 26 types of business data, such as airport resources, support nodes, agent flights, passenger security checks, air traffic control collaborative decision-making, and baggage handling [2] - In the flight support sector, the platform shares core resource data like gate assignments, baggage carousel information, check-in counters, and boarding gates in advance, helping frontline support units enhance flight support efficiency [2] - The platform supports intelligent resource scheduling and tracking of support processes by deeply integrating dynamic data from agent flights and opening data interfaces to support units like Eastern Airlines Catering and Eastern Airlines Technology [2] - In passenger services, the platform creates a "data + service" dual-driven model, enabling automatic multi-channel intelligent push notifications in cases of gate changes or flight delays [2] - Eastern Airlines has established a comprehensive data quality management system based on the integrated data, implementing multi-dimensional quality inspection plans to ensure data quality and enabling timely root cause analysis and rectification of data anomalies [2]

Group 1: Marine Economy Development - The National Development and Reform Commission (NDRC) is initiating the "14th Five-Year" marine economy development plan, focusing on innovation-driven breakthroughs in key core technologies [1] - The plan aims to accelerate the transformation and upgrading of traditional marine industries and promote emerging industries such as offshore wind power and marine biomedicine [1] Group 2: Data Circulation Nodes - As of now, 25 data circulation node cities have been established, including major cities like Beijing, Shanghai, Guangzhou, and Shenzhen, with plans to expand to around 50 by the end of the year [2] - This expansion will cover 80% of provinces and municipalities, laying the foundation for large-scale cross-domain data circulation [2] Group 3: ETF Market Growth - The total market size of ETFs has surpassed 4.7 trillion yuan, with a net inflow of 38.75 billion yuan year-to-date [3] - Bond ETFs lead the inflow with 29.94 billion yuan, while cross-border ETFs have also seen significant inflows of 139.4 billion yuan [3] Group 4: Integrated Circuit Industry - The integrated circuit industry in China has formed a complete industrial chain covering design, manufacturing, packaging, testing, and equipment materials [4] - The domestic operating system, Harmony, has seen its ecosystem devices exceed 1.19 billion units, and AI patent applications account for 60% of the global total [4] Group 5: Data Market Development - The National Data Bureau plans to introduce over 10 new systems, including data property rights, to enhance the data market [5] - The initiative aims to foster a national integrated data market and promote the development and utilization of public data resources [5] Group 6: Energy Storage Industry - A total of 149 organizations are participating in an initiative to maintain fair competition in the energy storage industry, emphasizing reasonable pricing and fair competition [6] Group 7: Margin Trading Participation - The number of investors participating in margin trading reached a new high for the year at 523,400, reflecting a 9.67% increase from the previous trading day [8] Group 8: Central Bank Operations - The People's Bank of China announced a 500 billion yuan reverse repurchase operation with a six-month term to maintain liquidity in the banking system [9] Group 9: Open Source Frameworks - ByteDance's Seed team has released and open-sourced the VeOmni framework, which significantly reduces engineering overhead and improves training efficiency for multimodal models [10] - Zhiyuan Robotics has launched the Genie Envisioner platform, integrating future frame prediction, strategy learning, and simulation evaluation into a unified model for robotic control [11]

《 人民日报 》（ 2025年08月14日 17 版） (责编：岳弘彬、牛镛) 本报南宁8月13日电 （记者庞革平）记者近日从广西壮族自治区人民政府新闻办公室获悉：广西着力从 三个方面建设面向东盟的"数据流通便利地"，包括加强陆缆海缆建设、为数据传输提速、完善数据出入 境规则，以促进中国与东盟国家间数据流动更便捷和高效。 广西已有12条通往越南、老挝、缅甸等东盟国家的跨境陆缆，开通的国际通信信道总容量超过 9000GB。广西一方面持续扩容连接东盟的陆缆系统，另一方面，积极参与构建以西部陆海新通道为牵 引的面向东盟的国际数据大通道。预计南宁国际通信业务出入口局今年年底投入运营，将实现数据从广 西南宁直接传输到东盟国家，极大缩短传输距离，降低通信成本。以南宁到越南河内的数据传输为例， 时延将从目前的107毫秒降至18毫秒，提速近5倍，将促进中越跨境电商、直播、金融等合作业务的发 展。 目前，大量与东盟国家有跨境业务的中国企业通过广西自贸试验区便捷实现数据出境。广西也将积极联 合东盟国家共建数据跨境流动试验区、国际数据中心等基础设施，促进跨境产业发展。 ...

Core Insights - The global AI competition is shifting from a "sprint" of technological breakthroughs to a "marathon" of ecosystem building, where computing power, data quality, and practical application capabilities are key determinants of success [1] - China should leverage its strengths in "green electricity + domestic chips," "data flow," and "scene sinking" to create a unique development path that balances technological advancement with social benefits [1] Group 1: Computing Power and Energy Costs - Computing power is essential for AI development, but high energy costs and chip supply limitations are major constraints for the global AI industry [1] - China's strategy involves integrating its advantages in renewable energy with independent innovation to establish a low-cost, high-security computing power supply system [1] - The "westward migration" of data centers is reshaping the cost structure of computing power, with regions like Qinghai and Inner Mongolia offering significantly lower electricity prices, enhancing China's competitive edge in AI [1] Group 2: Chip Innovation and Data Utilization - The self-sufficiency in chip technology is crucial for overcoming technological blockades, with innovative "modular" chip cluster solutions allowing for significant cost reductions in AI model training [2] - China's vast data resources, including 1 billion internet users and 400 million industrial devices, can be transformed into innovation drivers by breaking down data silos and enhancing data flow [2] - The Shanghai Data Exchange's "industry data space" model exemplifies how to unlock data value while ensuring security, allowing for efficient data utilization across sectors [2] Group 3: Practical Applications and Policy Support - Innovative practices in data circulation are emerging across China, demonstrating the potential for exponential growth in innovation when data is treated as a public resource [3] - AI's ultimate value lies in addressing real-world problems, with China's unique advantage being its comprehensive application scenarios across urban and rural settings [3] - The sinking of AI applications into traditional industries is transforming production methods, making AI accessible and practical for everyday use [4] - Effective policy guidance is essential for balancing innovation with resource management, ensuring that the AI industry develops sustainably and efficiently [4]

Group 1 - The global AI competition is shifting from a "sprint" of technological breakthroughs to a "marathon" of ecosystem building, with key variables being computing power costs, data quality, and scene implementation capabilities [1] - China aims to leverage its advantages in "green electricity + domestic chips," "data flow," and "scene sinking" to create a unique development path that combines technological breakthroughs with social benefits [1][2] - The high energy costs and chip supply limitations are major constraints on the global AI industry, and China's solution lies in integrating its renewable energy advantages with independent innovation to build a low-cost, high-security computing power supply system [1][2] Group 2 - The "Westward Migration" strategy of data centers is reshaping the cost structure of computing power, with regions like Qinghai and Inner Mongolia offering significantly lower electricity prices, thus reducing the costs of large model training [1] - The innovative "modular" chip cluster solution developed by Chinese companies allows for the combination of domestic 14nm chips to achieve performance equivalent to 3nm chips, drastically reducing training costs from tens of millions to millions [2] - The challenge of "data islands" and security concerns hinders the transformation of vast data into innovative momentum, but China's large-scale data base can provide continuous "live water" for AI development if data circulation barriers are broken [2][3] Group 3 - Innovations in data circulation are emerging across the country, with examples like Shenzhen's data element market and Hangzhou's "city brain" demonstrating the potential for increased efficiency when data is treated as a public resource [3] - The ultimate value of AI lies in solving real-world problems, and China's unique advantage is its comprehensive application scenarios from urban to rural areas, enabling AI to evolve from a "toy" to a "tool" [3][4] - Scene sinking is transforming traditional production methods, with AI applications in community markets and agriculture enhancing productivity and making technology accessible to ordinary people [4] Group 4 - The successful implementation of these three strategies relies on precise policy guidance, balancing innovation with resource management to prevent waste while allowing for experimentation [4]

Core Viewpoint - The 2025 Global Digital Economy Conference highlighted the importance of high-quality data set construction and the establishment of a trusted data space as key focus areas for future data circulation [1][3]. Group 1: Data Circulation Infrastructure - Beijing Capital Information Development Co., Ltd. is leading the construction of a "Data Circulation Utilization Value-Added Collaboration Network" to address the supply-demand mismatch of high-quality data sets [3]. - The data circulation platform has officially launched, offering nearly 4,000 data products across 12 application scenarios and aggregating over 300 market entities [3]. - The company aims to enhance the market by increasing the availability of high-quality data sets on the platform, facilitating the flow and transaction of data between supply and demand sides [3]. Group 2: Trusted Data Space - The establishment of a trusted data space is a critical focus area, serving as a virtual computing environment where data providers and users can access and perform computations on encrypted data [4]. - This environment ensures that data is "available but not visible," providing reliable support for the market-oriented circulation of data elements [4]. - The company has already launched several solutions related to the trusted data space, with corresponding practical applications underway [4].