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2025数博会8月28日至30日将在贵阳召开 更加突出国际化、专业化、产业化三大特色
Zheng Quan Ri Bao Wang·2025-07-22 09:15

Core Viewpoint - The 2025 China International Big Data Industry Expo (Big Data Expo) will be held from August 28 to 30 in Guiyang, Guizhou Province, focusing on the integration of data elements and artificial intelligence technology to drive high-quality economic development [1][2]. Group 1: Event Overview - The Big Data Expo, organized by the National Data Bureau and the Guizhou Provincial Government, has evolved into a significant platform for innovation trends, industry achievements, and open cooperation in the data field since its inception in 2015 [1]. - This year's theme is "Data Aggregates Industrial Momentum to Ignite New Development Chapters," emphasizing the role of data as a key element in reshaping industrial structures and fostering new productive forces [1]. Group 2: Key Features - The expo will highlight three key features: 1. Internationalization: It aims to serve as a platform for domestic and international supply-demand matching in digital economy innovation solutions, featuring an international cooperation exhibition area [2]. 2. Professionalization: The event will focus on creating a highly authoritative exchange platform in the data field, addressing challenges in the marketization and valuation of data elements [2]. 3. Industrialization: The expo will promote the transformation of technological innovation achievements from various market entities, encouraging collaboration and ecosystem building [2]. Group 3: Activities - The expo will include five categories of activities, with a focus on professional exhibitions, an opening ceremony, industry exchange activities, competitions, and special events [2]. - Six themed exhibition halls will showcase new technologies, products, solutions, and applications in the digital economy [2]. Group 4: Future Plans - The National Data Bureau plans to establish pilot data industry clusters to support regions in developing competitive and demonstrative data industry zones, exploring diverse paths for data industry cultivation and development [3].