On September 21st, the National Data Administration announced that on September 20th, Liu Liehong, the director of the National Data Administration, stated at the 2025 World Manufacturing Conference held in Hefei, Anhui that investment in the data field should be increased. Manufacturing enterprises should attach equal importance to the development and utilization of data resources as they do to technology research and development and equipment updates, and accelerate the construction of high-quality data sets in the industry. Liu Liehong said that data has become the fundamental resource and innovation engine for the high-quality development of the manufacturing industry. As a key production factor, it runs through the entire process of research and development design, production and manufacturing, business management, marketing, customer service, etc. in the manufacturing industry. High quality data integration is a new type of fuel for digital transformation, just like refined "high-grade fuel", which largely determines whether artificial intelligence technology can run steadily, far, and efficiently in manufacturing applications. Liu Liehong stated that in order to increase investment in the field of data, manufacturing enterprises should attach equal importance to the development and utilization of data resources as they do to technology research and development and equipment updates. They should increase investment in the entire process of data acquisition, storage, calculation, management, and utilization, accelerate the construction of high-quality datasets in the industry, and empower the implementation of "artificial intelligence+" in the industry and enterprises. We need to increase investment in the data industry and actively cultivate various types of data enterprises such as data resources, technology, services, applications, security, and infrastructure. We need to cultivate a market awareness of paying for high-quality data, just like purchasing advanced equipment and introducing high-end technology, to form a consensus of "paying for high-quality data", so that data can be used in flow and added value in use, truly forming a good situation where data can be obtained, circulated, used well, and kept safe. To jointly prevent and eliminate "internal competition", enterprises, especially leading enterprises with strong digital capabilities, need to rely on innovation driven and data-driven development. (New Society)