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GEOVIS iFlight低空智航应用平台
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实探数博会:数据赋能千行百业
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]