视频丨我国首次明确培育三类数据流通服务机构 助力“人工智能+”行动

Core Viewpoint - The joint release of the "Opinions" by multiple government agencies marks a significant step towards cultivating data circulation service institutions in China, aiming to enhance the marketization and valuation of data elements. Group 1: Types of Data Circulation Service Institutions - The "Opinions" specify the establishment of three types of data circulation service institutions: data exchanges (centers), data circulation service platform enterprises, and data merchants. Each type has a distinct focus: data exchanges emphasize comprehensive service functions, data circulation service platform enterprises focus on specialized development, and data merchants aim to enhance the development of data products and services [1][3]. Group 2: Innovative Trading Models - The document encourages the exploration of diverse circulation and trading models, promoting various entities to expand data-for-data, data-for-orders, data-for-services, data-for-models, and data-for-scenarios exchange methods. This approach is expected to break traditional trading paradigms and facilitate a broader release of data element value [3]. Group 3: Support for Artificial Intelligence Development - The "Opinions" propose targeted policy measures to support the development of high-quality data sets that cater to artificial intelligence. This includes expanding circulation and trading methods for high-quality data sets that are suitable for AI applications [3][5]. Group 4: Collaboration with AI Enterprises - The document supports data circulation service institutions in strengthening collaborations with artificial intelligence companies, leveraging data infrastructure to provide services such as data aggregation, governance, and model training [5].