Various regions release new policies to tap into the potential of artificial intelligence applications
2024-09-19
Artificial intelligence (AI), as a cutting-edge technology, has demonstrated a significant "leading goose effect" among numerous technological innovations. Artificial intelligence not only drives the transition from local exploration to comprehensive development, but also achieves a leap from pilot applications to empowering various industries. Once AI has successfully opened up a path to transform technological innovation into practical applications and thus truly improve production efficiency and quality of life, other new technologies will also be able to learn from or imitate this model, and jointly contribute to a positive development trend. Currently, building a highland for artificial intelligence application scenarios has become a top priority for the development of the AI industry in various regions. As of September 18th, many cities including Suzhou, Shenzhen, Hangzhou, and Zhengzhou have issued new policies or measures around the layout of the artificial intelligence industry during the year. From a content perspective, many places prioritize expanding application scenarios as key content. For example, on September 16th, the official website of the Suzhou Municipal People's Government announced that the "Action Plan for Accelerating the High level Construction of the" Artificial Intelligence+"Application and the" Artificial Intelligence+"Innovation and Development Pilot Zone" and "Several Measures for Accelerating the Promotion of the" Artificial Intelligence+Manufacturing Industry "in Suzhou" have been released. Previously, the Shenzhen Municipal Bureau of Industry and Information Technology issued the "Action Plan for Accelerating the Construction of an Artificial Intelligence Pioneer City in Shenzhen", which proposed to "deepen the application of all domains, all times, and all scenarios, and create a pioneer in scenario applications". Application is a necessary link for technological innovation to change real production and life. The expansion of application scenarios is actually the continuous penetration of AI technology into various industries, and the integration of artificial intelligence with various specific scenarios such as production and services. Currently, the application of artificial intelligence technology in fields such as healthcare and financial services is becoming increasingly mature. However, overall, its application is still in the exploratory stage, and industry enterprises and practitioners are still working hard to tap into its potential and explore more stable profit models Chen Xiaohua, director of the Blockchain and Data Elements Professional Committee of China Mobile Communications Federation, said. The difference between the local and overall aspects mentioned above is a distinct feature in the process of unleashing the potential of artificial intelligence applications. How to understand this difference? Guo Tao, Deputy Director of China E-commerce Expert Service Center and Senior Artificial Intelligence Expert, stated in an interview with Securities Daily that industry characteristics determine the depth and breadth of AI technology applications. Different industries have varying levels of acceptance and specific application directions for artificial intelligence. Therefore, the timeline and progress of AI technology integration with different industries are different. It is worth noting that market demand is a key driving force for the development of AI technology applications. Local applications often focus on specific functions or process optimization, and the related needs are specific and urgent; the release of overall demand potential involves more macro level content and requires long-term planning. Market demand drives deeper and more practical integration, which is more evident in the manufacturing industry. With the transformation and upgrading of China's economic structure, consumers' pursuit of diversification and high-quality products is increasing, prompting the manufacturing industry to shift from providing traditional processing services to high-end manufacturing. Manufacturing enterprises need to enhance their manufacturing capabilities in order to provide consumers with more value-added services and build differentiated competitive advantages. Therefore, the demand for cutting-edge technologies such as artificial intelligence and big data to participate in the entire manufacturing process in the manufacturing industry continues to increase. Correspondingly, since the beginning of this year, promoting the continuous integration of AI technology and manufacturing industry has been one of the key directions for exploring the potential of artificial intelligence applications in many regions. For example, the Action Plan for Tianjin Industrial Technological Transformation (2024-2027) issued by the General Office of the Tianjin Municipal People's Government proposes to "promote the in-depth application of new technologies such as artificial intelligence, 5G, edge computing in the manufacturing sector, and form a batch of typical scenarios such as virtual testing and debugging, digital process design, and intelligent online detection". Information and communication expert Chen Zhigang stated that the integration of manufacturing and AI technology can not only improve labor productivity and promote the upgrading of traditional industries, but also give rise to a number of emerging industries. In the future of deep integration between the two, artificial intelligence will cover the entire process of design, production, management, and service in the manufacturing industry. Rigid production may become more flexible under the drive of AI technology, and intelligent manufacturing machine tools will be widely popularized to assist the manufacturing industry in quickly responding to market changes and more efficiently meeting personalized and diversified consumer needs. When it comes to the future, Chen Zhigang stated that in addition to policy support from various regions, enterprises should play a leading role in technological innovation, strengthen the research and development of key core technologies, enhance the supply capacity of AI technology, and actively participate in the formulation of intelligent manufacturing standards and specifications. In addition, it is recommended that enterprises actively cooperate with universities and research institutions, jointly participate in intelligent manufacturing project topics and investigation research, and promote technological innovation and industrialization landing. (New Society)
Edit：Lubaikang Responsible editor：Chenze
Source：zqrb.cn
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