中新网贵阳8月30日电 (记者张伟蒲文思)2025中国国际大数据产业博览会(简称，2025数博会)于30日在 贵州贵阳落下帷幕。2025数博会期间，海内外各方聚焦数据产业、算力产业、人工智能等领域进行供需 对接，谋划100个数字经济项目，吸引投资463.36亿元(人民币)。 2025数博会以"数聚产业动能智启发展新篇"为主题，重点举办专业展览，配套举办开幕式、交流活动、 行业赛事及系列特色活动等，吸引海内外1.6万余人参会，包括31个国家的168名外宾；375家海内外参 展，其中境外参展企业30家；展出新产品、新技术、新方案1300余项，观展9.1万人次。 "数博会给我们提供了很多很好的具有启发性的想法，能够促进数据的流通和共享以及数据空间的打 造。"国际数据空间协会首席执行官拉斯·纳格尔说，希望与各方进行更多的对话和数据的分享。 "2025数博会让参展企业感受到大数据、人工智能等领域的前沿突破。这场突出'国际化''专业化''产业 化'的展会，为各方搭建了对接客户、寻求合作、展示成果的优质平台，真切体会到数字经济的活 力。"浪潮软件集团智慧消防产品总监朱明珂告诉中新网记者，数博会不只是开阔视野的窗口，更是精 ...

Core Insights - The 2025 China International Big Data Industry Expo was held in Guiyang, focusing on the theme "Data Aggregates Industrial Momentum, Intelligent Development New Chapter" [1] - Inspur Yunzhou showcased innovative solutions, including a trusted data space service platform and a low-power liquid-cooled hyper-converged heterogeneous cryptographic computing platform [1][7] Group 1: Trusted Data Space Service Platform - The platform aims to build a secure and efficient trusted data space, facilitating compliant and efficient circulation of data elements, which is essential for a unified national data market [3] - It utilizes a self-developed "Data Chain Network Integration Technology System (QID)" and integrates multiple trusted control technologies, establishing four core security domains and one operational management domain [3] - The platform addresses data application challenges in government, industry, and enterprises, promoting secure and trusted data circulation and development across regions and sectors [3] Group 2: Data Security and Sharing Mechanisms - The platform ensures data security and traceability, alleviating concerns about data misuse and leakage, thus addressing the "unwilling to share" dilemma [4] - It innovatively creates a "product + service" matching mechanism, enhancing participants' awareness of the benefits of data sharing and service output [4] - A unified data directory and contract management system facilitate inter-entity data connectivity, overcoming the "cannot circulate" challenge [4] Group 3: Comprehensive Service Ecosystem - Inspur Yunzhou integrates computing resources, data services, model services, and application services into a centralized intelligent hub, creating a standardized and modular AI empowerment toolchain [5][8] - The platform supports end-to-end services from model development, training, to inference deployment, providing core capabilities such as intelligent decision-making, visual inspection, and process optimization [5][8] - It establishes a unified data specification and tools for data collection, engineering, and high-quality data set services, enabling cross-enterprise and system data interoperability [8] Group 4: Low-Power Liquid-Cooled Cryptographic Computing Platform - The low-power liquid-cooled hyper-converged heterogeneous cryptographic computing platform features high performance, low power consumption, and high reliability, suitable for harsh environments [7] - It supports conventional encryption algorithms and user permission management, making cryptographic protection a manageable infrastructure component for various government and industrial applications [7]

Core Viewpoint - The establishment of a trusted data space is crucial for addressing the three major pain points in data circulation: supply-side reluctance to provide data, demand-side hesitance to use data, and the sustainability challenges faced by platforms [1][2]. Group 1: Pain Points in Data Circulation - The supply side is hesitant to provide data due to concerns about where the data will be used and the potential loss of control [2]. - The demand side is reluctant to use data because of uncertainties regarding its source, compliance, and quality [2]. - Platforms face sustainability issues as data technologies continue to evolve, and the current business models are not clearly defined [2]. Group 2: Role of Trusted Data Space - The trusted data space is seen as a solution to the trust issues in data sharing, enabling integrated collaborative development and resource sharing to overcome data silos [2]. - Companies are increasingly recognizing the necessity of building trusted data spaces to ensure effective data supply, flow, and utilization [2]. Group 3: Practical Applications and Benefits - Trusted data spaces have demonstrated their effectiveness in reducing costs and enhancing competitiveness, particularly in industries like home textiles, where they protect intellectual property and original designs through integrated platforms utilizing blockchain and AI [3].

Core Insights - 360 Digital Security Technology Group and Guizhou Big Data Group signed a strategic cooperation agreement, marking significant progress since their initial collaboration intention in May [1] - The partnership aims to integrate Guizhou's government and enterprise resources with 360's advanced technology in "security + AI," focusing on building a comprehensive big data industry ecosystem [1][3] Group 1 - The cooperation will establish a long-term innovation platform to develop specialized solutions for government and enterprise network data security and artificial intelligence [3] - Both companies will create city and enterprise-level security operation centers, AI application empowerment platforms, and data security service platforms to enhance the security of Guizhou's critical information infrastructure [3] - The core strategic goal is to "co-build Guizhou's security brain," leveraging 360's leading capabilities in intelligent technology and advancing key technology research in the "Magic Tree Factory" [3][4] Group 2 - The collaboration emphasizes deep integration into strategic planning, technology system construction, and talent team development, aiming to accelerate the application of technological achievements [3] - A work model of "special task groups + task list management + key node breakthroughs" will be implemented to ensure the smooth progress of the cooperation projects [4] - This "security + AI" partnership is expected to inject new vitality into Guizhou's digital economy and contribute replicable "Guizhou experience" to the national digital China construction [4]

Group 1 - The core viewpoint of the articles highlights the rapid growth of data production in China, projected to reach 41.06 zettabytes by 2024, which is more than double the amount during the 13th Five-Year Plan period. However, challenges such as data sharing difficulties, uncontrolled data usage, lack of a secure and trustworthy environment, and difficulty in realizing data value persist, hindering the high-quality development of the digital economy [1][2] - The "Industry Trusted Data Space Service Platform" launched by Inspur Yunzhou integrates a "data chain network fusion technology system" to support secure and efficient data circulation and utilization, aiming to break down data circulation barriers and promote the transformation of data value [1][2] - The Trusted Data Space is described as a foundational infrastructure for data circulation and utilization, enabling resource sharing among multiple parties and supporting the construction of a unified national data market [2] Group 2 - The platform has already been applied in various sectors such as healthcare, telecommunications, meteorology, and high-end equipment, with a notable project in the healthcare sector that enhances efficiency in medical insurance claims by over 55% [3] - In the government sector, the platform has established two provincial-level data circulation and utilization frameworks, significantly simplifying processes for over 300,000 individuals and improving inter-departmental data sharing efficiency by 36% [3] - In the telecommunications industry, the platform has created a data circulation system that integrates circulation models, regulatory norms, and technical platforms, providing precise decision support for urban governance and public safety, with expected annual economic benefits exceeding 10 million [4]

Group 1 - The 2025 China International Big Data Industry Expo is now open to the public, showcasing a significant emphasis on "Artificial Intelligence+" elements compared to previous years [1] - Over 60% of the digital economy-related products and service solutions at this year's expo are related to "Artificial Intelligence+", with a notable increase in new generation smart terminals and intelligent exhibits compared to the last edition [1] - The participation of many industry service providers indicates a shift towards integrating artificial intelligence with specific scenarios in consumption and production, highlighting the growing trend of using data to better serve artificial intelligence [1] Group 2 - A series of new policies and initiatives promoting the implementation of "Artificial Intelligence+" were announced at the expo, including the National Data Bureau's launch of high-quality dataset construction trials in 18 key areas and 5 innovative fields for AI model training [1] - The initiation of a new batch of national data infrastructure construction trials aims to provide the necessary computing power and data foundation for the development of "Artificial Intelligence+" [1]

Group 1 - The core viewpoint of the news is that China's digital economy is expected to reach an added value of approximately 49 trillion yuan by the end of this year, accounting for about 35% of GDP, with the core industries of the digital economy achieving their "14th Five-Year Plan" targets ahead of schedule [1] - The 2025 China International Big Data Industry Expo, themed "Data Aggregates Industrial Momentum, Intelligent Development New Chapter," features over 16,000 registered guests and 375 participating companies, highlighting the importance of data as a driving force for industrial development [1] - The event showcases various applications of digital technology, including the low-altitude economy, with companies like Zhongke Xingtong presenting comprehensive product systems and case studies in the field of aerospace information [1][2] Group 2 - The GEOVIS iFlight low-altitude intelligent flight application platform is a highlight product at the expo, providing standardized services for aerial photography, intelligent inspection, and logistics delivery, addressing various low-altitude business needs [2] - High-quality data sets are crucial for supporting the "Artificial Intelligence +" initiative, with over 400PB of high-quality data sets constructed in China by the end of June [3] - The total scale of intelligent computing in China has reached 780,000 PFlops, ranking second globally, with significant contributions from western regions where data center operational costs are 50% to 70% lower than in eastern regions [3] Group 3 - Discussions at the expo emphasize the need for high-quality data set construction and the promotion of data element circulation and value release [3][4] - Experts suggest that the market for high-quality data sets is still small, and automation and intelligence in production need improvement, proposing subsidies to encourage the supply and demand of high-quality data sets [4] - The National Data Bureau is deploying pilot projects for data industry clusters to foster a robust industrial ecosystem and scale advantages, building on previous guidelines for high-quality data industry development [4]

Core Insights - The 2025 China International Big Data Industry Expo showcases the integration of data elements and AI technology, highlighting new solutions and applications for industrial transformation and upgrading [1][2] Group 1: Data Infrastructure and AI Development - China is focusing on building computing power infrastructure and enhancing the development and sharing of data resources [2] - As of July, Guizhou Province has accumulated 29 large-scale data centers, with a total computing power of 92.60 EFLOPS, making it one of the regions with the strongest intelligent computing capabilities in the country [2] - High-quality datasets are crucial for AI training, determining the "intelligence" of AI systems, and are seen as a "moat" for AI development [2][3] Group 2: Industry Applications and Innovations - Numerous companies are seizing opportunities in AI and big data across various sectors, including low-altitude economy, medical diagnosis, and tourism [4] - The AI-driven personalized itinerary planning product by Mafengwo significantly enhances user experience and efficiency in travel planning [4] - The "39AI Doctor" product, implemented in over 40 hospitals and 187 community medical institutions in Guizhou, has a diagnostic result adoption rate of 92% [4] Group 3: Future Directions and Collaborations - Companies like Zhongke Xingtu are focusing on the low-altitude economy, presenting a comprehensive product system that includes planning, safety assurance, and application scenarios [6] - The development of a unified digital platform for government investment attraction by Zhaoshangyi aims to provide efficient services to enterprises [5][6] - Experts believe that with improved policies, technological advancements, and deepened application scenarios, data elements will release greater value and drive industries towards a new stage of intelligence [6]

Group 1 - The digital economy in China is expected to account for approximately 35% of GDP, indicating a new round of explosive growth in the sector [1][2] - As of June, China has built over 400PB of high-quality data sets, with more than 60% of domestic model training using Chinese data, and some models reaching 80% [2] - Daily token consumption has surpassed 30 trillion, growing over 300 times in a year and a half [2] Group 2 - The integration of high-quality data into various industries is driving new momentum for development, particularly in manufacturing where nearly 80% of large enterprises have achieved some level of digitalization [2] - The service industry is currently experiencing the best effects from data integration, enhancing efficiency and reducing costs in areas such as healthcare [2] - The scale and quality of data are becoming crucial for accelerating AI innovation, with new data sources continuously promoting the advancement of AI applications [3] Group 3 - Computing power is identified as the infrastructure of the intelligent world, with large models creating significant demand for high-quality data sets [5] - Systematic innovation through software and hardware is being pursued to enhance computing power, positioning China as a global hub for AI computing resources [5]

Core Insights - The construction of high-quality datasets is crucial for the advancement of artificial intelligence, as emphasized by the head of the National Data Bureau, Liu Liehong [1] Group 1: High-Quality Datasets - Over 35,000 high-quality datasets have been established across China, with a total volume exceeding 300PB, providing a solid data foundation for the rapid enhancement of AI model performance [2] - The cumulative transaction value of high-quality datasets in China has reached 4 billion yuan, with 3,364 trading institutions listing these datasets, totaling 246PB in scale [2] - There is a growing demand for data trading driven by AI model training, as various sectors are increasingly willing to invest in data resources to support the application of large models [2] Group 2: Regional Development and Initiatives - Guizhou Province has established a provincial-level data circulation trading platform and has cultivated over 200 data businesses, releasing more than 900 high-quality datasets in key sectors such as finance, manufacturing, healthcare, and commerce [3] - The province is actively promoting the synergy of computing power, data, and application industries, focusing on four key sectors: intelligent computing, high-quality data construction, AI large models, and digital information [3] Group 3: Strategic Initiatives - The launch of the high-quality dataset navigation plan marks a significant step in building the data element ecosystem and enhancing the supply of high-quality datasets [5] - The importance of high-quality datasets is underscored by experts, stating that without them, even the most advanced algorithms and powerful computing resources cannot achieve breakthroughs in AI [6]