Group 1 - The 2025 China International Big Data Industry Expo concluded on August 30 in Guiyang, focusing on data industry, computing power industry, and artificial intelligence [1] - The expo attracted investments totaling 46.336 billion yuan, with plans for 100 digital economy projects [1] - Over 16,000 registered guests attended, including 168 foreign guests from 31 countries and regions [1] Group 2 - A total of 375 companies participated in the expo, with 30 foreign exhibitors showcasing over 1,300 new products, technologies, and solutions [1] - The event hosted 89 activities, with more than 55,000 attendees and the release of 90 theoretical reports, industry standards, typical cases, and technological achievements [1] - The competition featured 2,154 teams, with over 2 million viewers participating online and offline [1]

Core Insights - The 2025 China International Big Data Industry Expo concluded in Guiyang, focusing on themes such as data-driven industrial momentum and new development chapters, featuring 375 participating companies and 26 exchange activities [1] Group 1: Data Infrastructure and Transactions - The National Data Bureau announced the successful cross-domain data transaction between Nanjing and Dalian, marking the first instance of credible data flow between cities in China [2] - This transaction utilized the national data circulation infrastructure, validating the feasibility and reliability of cross-domain data operations [2] Group 2: High-Quality Data Sets - The National Data Bureau released the first batch of 104 high-quality data set case studies, with two cases from Nanjing included, highlighting the importance of high-quality data sets for AI model training [4] - The two selected cases from Nanjing are the "Public Credit Archive High-Quality Data Set" by Nanjing Lais Information Technology Co., Ltd. and the "Intelligent Inspection and Safety Control Data Set for China Huadian Power Generation" by Nanjing Nanzi Information Technology Co., Ltd. [4] Group 3: Public Credit Archive Data Set - The "Public Credit Archive High-Quality Data Set" has collected over 800 billion data entries, covering more than 180 million social entities and 800 million individuals, with an annual increase of over 2 billion entries [5] - This data set is utilized in various sectors, including government services and social governance, enhancing administrative efficiency and reducing market operation costs [5] Group 4: Intelligent Inspection Data Set - The "Intelligent Inspection and Safety Control Data Set" addresses challenges in the power generation sector by creating a comprehensive dataset covering various energy types, including wind, solar, hydro, and thermal power [6] - It establishes a standard system for data collection, annotation, and application, promoting industry development [6] Group 5: High-Quality Data Set Industry Base - The "China High-Quality Data Set Industry Base (Nanjing)" was inaugurated, focusing on key technology breakthroughs and standard system construction for high-quality data sets [7] - The base aims to foster collaboration among industry players and enhance the development of AI data sets, contributing to the innovation and intelligence of various sectors [7]

Core Insights - The GBAnexus brand was officially launched at the 2025 China International Big Data Industry Expo, positioning itself as a national-level public data infrastructure with an innovative "data calculation and application integration" service model [1][19]. Group 1: GBAnexus Achievements - The first major achievement is the GBAnexus Guangdong-Hong Kong-Macao Greater Bay Area Big Data Center, which serves as a foundational platform for full-chain data element services, enabling the transformation of raw data into high-value data assets and ensuring secure data circulation [3][6]. - The second achievement is the H-TECH DATA high-quality data set, which is the first comprehensive and rich-dimensional innovative intelligence data set in the country, aggregating over 10 billion data resources from the Greater Bay Area, covering 14 categories of fundamental data elements [10][12]. - The third achievement is the industrial model resource library, which includes millions of industrial models and provides services such as model uploading, downloading, and management for manufacturing enterprises [14][15]. - The fourth achievement is the Greater Bay Area computing power scheduling platform, which addresses high computing costs and resource shortages by creating an intelligent scheduling system that integrates computing power from various cloud service providers [17][19]. Group 2: Value Proposition - GBAnexus offers a data governance platform that provides a full-chain data asset service, utilizing a layered data design and built-in algorithms for efficient data processing [6][7]. - The platform features a three-tier privacy computing platform that caters to different confidentiality levels, ensuring secure data interaction across various industries [6][7]. - The H-TECH DATA set is designed to meet the needs of government, enterprises, and think tanks, integrating data intelligence with AI technologies to promote industrial intelligence upgrades [12]. - The computing power scheduling platform has already integrated 8,350 PFlops of computing resources, 1,200+ PB of storage, and 1,100+ GB of network resources, providing a comprehensive solution for the AI industry [17][19].

Core Viewpoint - The coordinated development of Jinan and Qingdao urban circles is essential for leveraging Shandong's geographical advantages, integrating into national strategies, and enhancing regional competitiveness through industrial collaboration [1][2]. Group 1: Industrial Collaboration - The Jinan-Qingdao dual-circle industrial collaboration aims to optimize resource allocation, foster new growth drivers, and enhance regional core competitiveness [1]. - The collaboration is not merely about relocating projects but requires a systematic restructuring of industrial chains, supply chains, innovation chains, and value chains [1]. - The integration of Jinan's technological innovation strengths with Qingdao's advanced manufacturing and marine economy is expected to amplify the comprehensive competitiveness of the Shandong Peninsula urban agglomeration [1]. Group 2: Core City Development - Jinan and Qingdao, as core cities of the Jinan-Qingdao urban circle, possess distinct industrial advantages that need to be further enhanced to improve their industrial radiating power [2]. - Jinan should focus on strengthening its financial, technological service, and cultural education sectors to establish itself as a regional financial center and innovation hub [2]. - Qingdao should continue to deepen its marine economy and enhance the internationalization of its industries through industrial transfer and technology export [2]. Group 3: Strategic Planning - The development of an industrial map and collaborative development directory is crucial for defining differentiated development directions for each city [2]. - This involves analyzing each city's industrial foundation, resource endowments, and comparative advantages to encourage the development of characteristic industries [2]. - Establishing a co-construction mechanism for industrial cooperation demonstration zones will facilitate the integration of overlapping and complementary industrial chains between Jinan and Qingdao [2]. Group 4: Resource Aggregation - The combined GDP of Jinan and Qingdao has surpassed 3 trillion yuan, indicating a strong aggregation of competitive industrial clusters [3]. - The collaboration aims to create a global brand of "Jinan-Qingdao Manufacturing" and develop world-class industrial clusters to enhance regional economic influence [3]. - Strengthening the collaborative development of traditional and emerging industries will promote economic synergy within the urban circles [3].

近日，2025中国国际大数据产业博览会在贵州贵阳开幕。本届数博会以"数聚产业动能 智启发展新 篇"为主题，围绕数据要素、数据产业、数字经济、数据基础设施、国际合作5大核心板块，举办26场交 流活动。在深入实施"人工智能+"行动的背景下，今年的数博会充分展示数据要素与人工智能融合创新 的最新成果，同时举办数据标注、数字经济等供需对接活动。 网联世界，数暖生活。经过30余年井喷式发展，互联网已经深刻地影响到了中国的政治、经济、文化等 方方面面。第56次《中国互联网络发展状况统计报告》显示，截至2025年6月，我国网民规模达11.23亿 人，互联网普及率达79.7%，5G基站总数达455万个。随着新型信息基础设施加速布局，互联网基础资 源持续丰富，大数据、云计算、人工智能、区块链等技术更已日益融入经济社会发展各领域和全过程。 统计数据显示，从2020年的7.8%到2024年的10.4%，中国数字经济核心产业增加值占GDP比重提高2.6个 百分点。 集聚新动能，塑造高质量发展新优势。中央经济工作会议明确提出："必须统筹好培育新动能和更新旧 动能的关系，因地制宜发展新质生产力"。最新测算结果显示，2024年我国经济发展 ...

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]

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]