“为优质数据买单”拓展广阔空间

Core Insights - The development of the data industry is a crucial measure for deepening the market-oriented allocation of data elements and constructing a digital economy centered around data [1] - The 2025 China International Big Data Industry Expo attracted investments totaling 46.336 billion yuan, highlighting the growing interest in data and computing industries [1] - By the end of this year, the added value of the digital economy is expected to reach approximately 49 trillion yuan, 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] Group 1: Data Infrastructure Development - The national data infrastructure is gradually forming a new type of infrastructure system aimed at releasing the value of data elements, supported by networks and computing power [2] - Eight national hub nodes have been established, with a computing power scale of 620,000 PFlops, accounting for about 80% of the national total [2] - Guizhou's computing power has exceeded 92,000 PFlops, with large and super-large scales accounting for about 60%, forming three trillion-level industrial clusters [2] Group 2: Trusted Data Space - The Trusted Data Space is a new type of data circulation infrastructure that connects multiple parties based on consensus rules, enabling data resource sharing [2] - The National Data Bureau has released the "Trusted Data Space Development Action Plan (2024-2028)" to promote the exploration of various data space scenarios and mechanisms [2] Group 3: Data Utilization and Applications - The data industry is seen as essential for developing new productive forces and fostering new growth drivers, with big data playing a significant role across various sectors [5] - The "Data Element X Action" has been implemented to promote public data utilization and key scenario construction, resulting in over 14,000 products and services developed from meteorological data alone [6] Group 4: Artificial Intelligence and Data Quality - The demand for high-quality data has surged due to the rapid development of artificial intelligence, which is now shifting focus from model-centric to data-centric approaches [8] - The National Data Bureau has initiated a pilot program for high-quality data set construction, with 140 data sets selected from 335 applications, covering 18 key fields [8][9] - As of June this year, over 35,000 high-quality data sets have been established nationwide, totaling over 400 PB [9]