烟台市人大代表崔芳菲：唤醒数据“金矿”，为制造业注入新动能

Core Viewpoint - The government work report emphasizes the implementation of "Artificial Intelligence +" actions, leveraging "large models, large computing power, and big data" to empower new industrialization, while suggesting the activation of data assets in the manufacturing sector to unlock the value of data [1] Group 1: Data Assetization in Manufacturing - Yantai's manufacturing sector has accumulated vast amounts of data in high-end chemicals and equipment manufacturing, which is a key production factor that needs to be activated [2] - The manufacturing system in Yantai is well-established, but there are systemic challenges in transforming data potential into development momentum, primarily due to unclear asset management and inconsistent data quality [2] - The lack of a clear path for data rights confirmation, valuation, and registration poses a significant challenge, with local practices being virtually non-existent [2] Group 2: Proposed Strategies for Data Activation - The first step involves solidifying management foundations by conducting a comprehensive survey of manufacturing data resources, led by the Ministry of Industry and Information Technology, to create a directory map [3] - The second step is to explore feasible paths for assetization by selecting 3-5 leading manufacturing enterprises for data asset registration trials, developing a valuation model, and aligning with national accounting standards [3] - The third step focuses on cultivating a market ecosystem to promote compliant data circulation, including establishing specialized data trading zones and supporting the use of technologies like privacy computing and blockchain [3] - The fourth step emphasizes strengthening policy and financial support, such as innovating financial tools for data asset collateral loans and creating incentive policies for pioneering enterprises [3]