The executive meeting held not long ago emphasized that with the deep integration of artificial intelligence and manufacturing as the main line, intelligent manufacturing as the main direction, and scene application as the traction, we will accelerate the intelligent upgrading of key industries, vigorously develop intelligent products, and empower the industrial manufacturing system at a high level.
For a long time, the company has attached great importance to scientific and technological innovation, and has carried out a series of important deployments to promote intelligent manufacturing and digital transformation. At present, China's artificial intelligence industry is developing rapidly, and a relatively complete industrial system has been formed, with the scale of core industries reaching 500 billion yuan, the number of enterprises exceeding 4,300, and innovative achievements such as intelligent chips, development frameworks, and general large models are constantly emerging. Supercomputing, intelligent computing, and cloud computing work together, and the scale of computing power ranks second in the world. Artificial intelligence represented by large models is deeply integrated with the manufacturing industry, and more than 2,500 digital workshops and smart factories have been built, which has played an important role in the optimization of the production mode and economic form of the manufacturing industry.
Relevant departments have also successively issued a series of policies on artificial intelligence to support the manufacturing industry, such as "Made in China 2025", the national big data strategy, and the "New Generation of Artificial Intelligence Development Plan". These policies have strongly promoted the application of related technologies in the industrial field, promoted the improvement of production efficiency, product quality and resource utilization efficiency, and provided support and guarantee for the development of artificial intelligence technology. At the same time, it encourages cooperation and innovation between enterprises, integrates and optimizes the industrial chain, and injects new vitality into the development of new industrialization.
Upgrading the manufacturing industry also needs to be "intelligent". At present, artificial intelligence technology has shown a powerful enabling role in the manufacturing industry. However, it should also be noted that there are still some shortcomings and weaknesses that need to be solved urgently, such as technical bottlenecks, talent shortages, and lack of industrial standards and norms. In this regard, from the perspective of the industry, it is necessary to continuously improve computing power, build smart factories, innovate business models and other measures to achieve system optimization of the whole chain, all links, the whole process and the whole cycle, and release the integration effect of intelligent transformation. Consolidate and upgrade advantageous industries, focus on shipbuilding and offshore engineering equipment, new energy vehicles, communication equipment and other fields, strengthen the innovation and iteration of new technologies and products through artificial intelligence, promote the construction of application scenarios in 5G, intelligent networked vehicles, new materials and other fields, improve the industrial ecology, and enhance the competitiveness of the entire industry chain.
At the enterprise level, efforts should be made to promote cross-industry collaboration, computing power construction, data sharing, and privacy protection. Relevant enterprises should formulate innovation-leading policies, promote technology transfer and industrialization, and cultivate engineers, scientists and managers with the ability to develop and apply AI technology. Increase capital investment, broaden financing channels, establish an innovation ecosystem, and promote technology transfer and industrialization. In addition, enterprises should also increase the innovation and research and development of related technologies, including algorithm optimization, deep learning, robotics, etc.
From the perspective of consumers, more intelligent and personalized products and services should be promoted, so that consumers can realize home automation control through smart home products, use smart wearable devices to monitor health status in a timely manner, and use smart vehicles to enjoy a safer and more convenient travel experience. It can also provide products and services that are more in line with individual needs through the personalized recommendation system, so that consumers can enjoy a more convenient, efficient and intelligent lifestyle.
*:Economy**.