"Widely applying digital and green technologies to accelerate the transformation and upgrading of traditional industries," emphasized during the Central Economic Work Conference held in Beijing from December 11th to 12th, when making systematic arrangements for economic work in 2024. Traditional industries are an important component of China's manufacturing system. According to relevant statistical data, traditional industries account for over 80% of China's manufacturing industry. Vigorously promoting new industrialization requires consolidating and strengthening strategic emerging industries, advancing future industries, and accelerating the transformation and upgrading of traditional industries, which directly affects the overall construction of a modern industrial system. In the transformation and upgrading of traditional industries, digital technology and artificial intelligence technology have great potential. Since the beginning of this year, facing complex and ever-changing external environments and risk challenges, China's industry has continued to steadily recover and its industrial structure has been continuously optimized. In the first 11 months, the added value of industries above designated size in China increased by 4.3% year-on-year; In November, the added value of industries above designated size in China increased by 6.6% year-on-year, while the added value of high-tech manufacturing increased by 6.2%. Among them, the digital and intelligent technology with "digitalization+intelligence" as the core has become an effective means to promote efficient collaboration and resource optimization of industrial and supply chains. It is an important engine to empower the high-quality development of the manufacturing industry and an important direction to promote the improvement and efficiency of China's economy and society. Taking high-quality development as the theme, we will do a good job in next year's economic work, accelerate the transformation and upgrading of traditional industries, and digital intelligence technology will play a key supporting role. Consolidate the digital foundation for the transformation and upgrading of traditional industries. With the acceleration of digital transformation and upgrading in Qianhang Baiye, enterprises are unstoppable in their efforts to use data to empower their intelligence, which has brought about a huge amount of data. The surge in online data volume and enhanced data mobility have significantly increased the demand for data resource storage, computing, and application. Under this development trend, the accelerated construction of new infrastructure such as 5G, F5G all optical networks, and data centers is becoming a key foundation to support the development of the digital economy. As of the end of October this year, the total number of 5G base stations reached 3.215 million, and the number of 10G PON ports with gigabit network service capabilities reached 22.16 million, a net increase of 6.93 million compared to the end of last year. The average annual growth rate of China's data center scale in the past five years has reached nearly 30%, ranking second in the world in terms of total computing power, laying a solid foundation for the transformation and upgrading of traditional industries and the high-quality development of the digital economy. Next, we will continue to moderately advance the construction of information infrastructure, accelerate the implementation of 5G private networks and RedCap, actively layout 5G evolution and 6G research, solidly promote the high-quality development of computing infrastructure represented by intelligent computing centers, and lay a solid digital foundation for the transformation and upgrading of traditional industries. Utilize digital technology to empower traditional industries. Digitalization is a distinctive feature of new industrialization and an important direction for the transformation and upgrading of manufacturing industry. The process of digital transformation in traditional industries is the application of new generation information technologies such as 5G, industrial internet, and artificial intelligence to empower the entire production and manufacturing process, all elements, and all links. To comprehensively collect and deeply analyze the multi-source heterogeneous data of "human-machine, material, method, and environment" on the production site, identify and eliminate the deep-seated reasons that lead to efficiency bottlenecks and product defects,