可信数据空间构建康养产业新基石 朱岩指出，当前正处在"Science for AI"（为人工智能提供支撑的科学）与"AI for Science"（人工智能驱动的科学研究）双向驱动的范式变革时代。他特别提 到2024年诺贝尔物理学奖和化学奖的获奖成果，认为这标志着人工智能正在深刻改变科学研究范式和产业发展路径。 9月14日，2025智慧康养前沿论坛在首钢园成功举办。本次论坛由北京商报社主办，以"银发经济新格局 全域康养生态圈"为主题，聚焦智慧康养与跨产业融 合，旨在探索符合中国国情的康养事业发展新路径、新模式与新机制。论坛汇聚了政府代表、专家学者、企业领袖等各界人士，共同探讨如何通过技术创新 和制度创新推动康养产业高质量发展。 清华大学互联网产业研究院院长、经济管理学院教授朱岩在论坛上发表了题为《基于可信数据空间的康养产业发展路径》的主题演讲，深入阐述了可信数据 空间如何为康养产业赋能，推动产业实现数字化转型与高质量发展。 技术创新与制度建设双轮驱动康养产业生态重构 在康养产业技术创新与制度建设层面，朱岩提出了具体的发展路径：要通过释放养老数据的价值摆脱传统康养产业的经济增长方式，通过构建康养产业的可 信数据 ...

Core Insights - The 2025 Trusted Data Space High-Quality Data Set Ecological Conference was held in Chongqing, where the first batch of 85 high-quality data set construction lists was released [1] - The conference initiated the pilot projects for high-quality data set construction and the Trusted Data Space National Innovation Development Pilot in Chongqing [1] Industry Developments - In the automotive sector, there will be an accelerated construction of data sets for new energy vehicle power battery safety assessment and intelligent driving algorithm research, aimed at enhancing the trillion-level industrial cluster with a "data new engine" [1] - In the low-altitude economy sector, the construction of data sets such as the Tianmu Constellation Global Atmospheric and Ocean Remote Sensing and Low-altitude Urban Safety Inspection Guardian will be expedited, which will build spatial perception capabilities to empower efficient, refined, and intelligent urban governance [1]

Group 1: Financial Performance - The company's revenue for the first half of 2025 decreased by 33.49% year-on-year, primarily due to the performance of its subsidiary Tianhe Permanent Magnet, which transitioned to full operational control by the company [2][3] - Despite the revenue decline, the net profit attributable to shareholders increased by 0.54%, driven by improved yield from technological innovations and the reversal of inventory impairment losses [3] - The revenue from the rare earth oxide business dropped significantly by 83.01% year-on-year, contributing to the overall revenue decline [3] Group 2: Business Strategy and Market Response - The company is adopting a cautious approach in the rare earth business, focusing on controlling scale and ensuring profitability to mitigate operational risks [2][3] - The company plans to increase investment in the rare earth business as the market shows signs of recovery, aiming to enhance revenue and create value [3] - In the smart water service sector, the company identifies cloud intelligence 2.0 and trusted data space construction as key growth points for the future [3] Group 3: Competitive Positioning and International Expansion - To address intense domestic market competition, the company is implementing a differentiated strategy, targeting larger water service enterprises with higher performance and service requirements [3] - The company is actively expanding its international market presence, leveraging partnerships to enhance brand recognition and establish distribution networks globally [3] Group 4: Strategic Investments - The smart factory project is aimed at digital and intelligent transformation, enhancing long-term competitive advantages beyond just cost reduction and efficiency [4] - The smart factory initiative focuses on automation, information management, product intelligence, and data assetization to optimize production processes and improve product quality [4]

Group 1 - The core concept of the "trusted data space" is to create a new ecosystem for data circulation that emphasizes co-construction, sharing, and utilization, which is likened to a "secure delivery network" for data [1] - The trusted data space aims to address three major pain points in data utilization: supply-side reluctance to provide data, demand-side hesitance to use data, and platform sustainability challenges [1][2] - Chongqing has taken the lead in establishing a trusted data space for the automotive industry, which is expected to act as a "super engine" for the local automotive and motorcycle sectors [1][2] Group 2 - The trusted data space in Chongqing is developed through a "classified cultivation" approach, integrating public data for city-level, focusing on automotive and healthcare for industry-level, and addressing specific pain points for enterprise-level [2] - China Automotive Engineering Research Institute (China SAE) is responsible for constructing the automotive industry trusted data space, which will expand data aggregation from "new energy" to "intelligent connected" vehicles [2] - The trusted data space allows automotive companies like Changan and Seres to share data securely, significantly improving production efficiency and fostering a collaborative data-sharing environment [2] Group 3 - During the upcoming Smart Industry Expo, China SAE will collaborate with Digital Chongqing and other entities to host a conference focused on high-quality data ecosystems, unveiling plans for the automotive industry trusted data space and high-quality data set lists [3]

Core Viewpoint - The "AI Trusted Data Space Conference" held in Guiyang emphasizes the importance of high-quality data as a core driver for the digital economy and the collaborative development of "Data+AI" [2][3] Group 1: Industry Trends - The conference highlights the consensus that a trusted data space is the mainstream route for industry development, with high-quality datasets being essential for AI application innovation [2] - AI technologies are evolving rapidly, shifting the focus from computational power to the application of AI in production, making the quality of datasets critical for model effectiveness [3] Group 2: Challenges and Solutions - The industry faces challenges such as data being "invisible, immobile, and unusable," which need to be addressed through innovative technical architectures and collaborative production [3] - The core capabilities for building a trusted data space include comprehensive data visibility, trustworthy data flow, and usability of AI [3] Group 3: Implementation Strategies - The Guizhou Big Data Industry Group aims to build a trusted data space by addressing three main pain points: supply-side reluctance to provide data, demand-side hesitance to use data, and platform sustainability issues [4] - The group is exploring trust mechanisms through infrastructure development, public data integration, security systems, and revenue trust mechanisms, with over 200 enterprises already engaged [5] Group 4: Sector-Specific Applications - The trusted data space is being utilized in various sectors, such as the home textile industry in Nantong, where it has significantly reduced design cycles and costs while improving efficiency and quality [8]

Core Insights - The "AI Trusted Data Space Conference" held in Guiyang focuses on the development trends and future opportunities of trusted data spaces, emphasizing the importance of data sharing and collaboration in building a national integrated data market [2] - The trusted data space is recognized as a critical infrastructure for the digital age, facilitating the integration of public data value and AI industry, with significant opportunities arising from national policies, industry demands, and technological innovations [2][3] Group 1: Conference Highlights - The conference was organized by the China International Big Data Industry Expo Committee and hosted by Huawei Technologies, gathering representatives from government, enterprises, and academia [2] - Huawei announced the launch of its hybrid cloud AI trusted data space solution, which features a three-layer architecture designed to assist cities and industries in entering the "Data+AI" collaborative innovation era [3] Group 2: Innovations and Projects - Two key innovations were introduced: the "AI Trusted Data Space White Paper," which outlines the technical paths and frameworks for the collaboration between trusted data spaces and AI, and a project aimed at enhancing the efficiency of tourism service intelligent agents through public data [3] - The tourism service project utilizes multimodal data processing to generate over 1,100 high-quality question-answer pairs from 100 original documents, improving the accuracy of government tourism service responses by 30% and reducing response time from seconds to milliseconds [3] Group 3: Regional Developments - Guizhou Big Data Group has established a comprehensive infrastructure for the marketization of data elements, creating a public data authorization and operation space that promotes efficient data circulation and application [4] - The authorization operation space is designed with capabilities for trusted control, resource interaction, and value co-creation, ensuring secure data operations throughout the entire process [4]

Group 1 - Huawei hosted a roundtable discussion on trusted data space during the 2025 Digital Expo, attended by key officials and industry leaders [1] - The Vice Director of Guizhou's Big Data Development Management Bureau highlighted the province's goal to strengthen its digital economy and become a national hub for computing power and data [3] - Guizhou is focusing on developing industries centered around intelligent computing, high-quality data sets, AI models, and smart electronic information [3] Group 2 - The value of the data labeling industry was emphasized as a crucial factor for employment and digital transformation by Guizhou's Party Secretary [3] - Liu Yuntao, CEO of Jinglianwen Technology, noted the shift in the data labeling industry from "how to label" to "what to label" as it transitions to a new era of large models and embodied intelligence [3] - Liu Yuntao also stressed the importance of high-quality and trusted data spaces in unlocking data value [3] Group 3 - Jinglianwen Technology and Huawei have jointly launched an AI data lake solution that covers the entire data lifecycle from collection to governance [4] - Liu Yuntao committed to contributing significantly to the development of Guizhou's digital industry [4]

Core Viewpoint - The development of trusted data spaces in China is accelerating from conceptual validation to practical implementation, supported by over 20 provinces and cities with relevant policies [1] Group 1: Development and Implementation - The 2025 China International Big Data Industry Expo opened in Guiyang, where the "Trusted Data Space Innovation Development Report (2025)" was released, outlining the current state and future paths for trusted data spaces in China [1] - The National Data Bureau issued the "Trusted Data Space Development Action Plan (2024-2028)" in November last year, aiming to establish over 100 trusted data spaces by 2028, with breakthroughs in operations, technology, ecology, standards, and security [1] Group 2: Pilot Projects and Applications - In 2025, the National Data Bureau will initiate pilot projects for trusted data spaces, with 63 projects identified, expanding into over 900 application scenarios across 32 major industries, potentially involving nearly 70,000 market entities [2] - The report indicates that among the nearly 70,000 market entities, 37% are data resource companies, 38.3% are data application companies, and 6.4% are data service companies, with 18.3% providing data security, technology, and infrastructure services [4] Group 3: Innovations and Highlights - Two major innovations include the establishment of specialized operational companies by state-owned enterprises and industry leaders, and the emergence of new data service companies focusing on data hosting, brokerage, and certification [4] - A significant highlight is the promotion of data resource openness in key sectors, facilitating AI development, with over 570 high-quality datasets created in 14 fields such as satellite remote sensing and automotive, providing essential data for AI model training [4][5] Group 4: Challenges and Future Directions - The report notes that while trusted data spaces are in their early development stages, challenges remain, including establishing a market-oriented long-term operational mechanism, overcoming data sharing barriers, and ensuring interconnectivity among data spaces [5]

Core Insights - The "Trustworthy Data Space Innovation Development Report (2025)" indicates that the trustworthy data space is in its early development stage, facing challenges in sustainable operation, data resource supply, and interconnectivity [1] - The report forecasts that with policy guidance and market demand, the trustworthy data space will enter a phase of scaled development, enhancing data resource utilization, expanding the data industry ecosystem, and accelerating AI innovation [1] - The report highlights the initiation of pilot projects for trustworthy data space, actively expanding over 900 application scenarios across 32 major sectors of the national economy, transitioning from concept validation to practical implementation [1] Highlights of Development - The report identifies four key highlights of the trustworthy data space development, including promoting data resource openness in critical areas to support AI development [2] - It emphasizes empowering ten major fields for innovation, effectively serving national strategies and public needs [2] - The establishment of a collaborative ecosystem through trustworthy third-party entities has engaged nearly 70,000 market participants, forming a synergistic network of data resource, application, service, technology, security, and infrastructure enterprises [2] - The exploration of a "four-in-one" regulatory framework aims to ensure efficient circulation of data elements [2]

Core Insights - The report titled "Innovative Development Report on Trustworthy Data Space (2025)" was released at the 2025 China International Big Data Industry Expo, highlighting the development of trustworthy data space [1] Group 1: Key Highlights - The first highlight emphasizes the promotion of data resource openness in key areas, which supports the development of artificial intelligence [1] - The second highlight focuses on empowering ten major fields for innovative development, effectively serving national strategies and public needs [1] - The third highlight discusses the role of trustworthy third parties in gathering industrial strength, accelerating the formation of a collaborative industrial ecosystem based on mutual trust [1] - The fourth highlight explores the construction of a "four-in-one" regulatory framework to ensure the efficient circulation of data elements [1]