Group 1 - The "2025 Data Asset Management Conference" was held in Beijing, focusing on topics such as data asset management, intelligent applications, and high-quality data sets, with over a thousand experts and representatives from various industries attending [1] - The China Communications Standards Association has published a total of 52 industry standards and 73 group standards related to intelligent data, along with over 260 technical documents and research reports, aiming to promote the development of global intelligent data standards [1] - The China Academy of Information and Communications Technology (CAICT) is committed to advancing research in data elements and their integration with intelligent technologies, focusing on key areas such as data asset management and high-quality data set construction [2] Group 2 - The CAICT released the "Data Asset Management Practice Guide 8.0," which outlines the evolving boundaries of data asset management and identifies four value collaboration paths: industrial digitalization, management digitalization, digital industrialization, and ecological factors [2] - The conference featured parallel forums addressing next-generation data assets, intelligent applications, and high-quality data infrastructure, where industry experts discussed key issues in data governance and asset management [3] - The shift towards a "human-machine collaboration" governance model is emphasized, with a focus on the assetization of unstructured data and the integration of domain knowledge with intelligent systems to enhance data-driven capabilities [3]
2025数据资产管理大会在京召开 发布《数据资产管理实践指南8.0》
Zheng Quan Ri Bao Wang·2025-12-19 12:10