Research on the Collaborative Development Strategies of Artificial Intelligence Specialty and Information Technology Industry
DOI:
https://doi.org/10.18063/cef.v3i1.647Keywords:
Artificial intelligence specialty, Information technology industry, Collaborative developmentAbstract
In today’s digital wave, artificial intelligence shines like a brilliant star, illuminating the new path of technological development, while the information technology industry is the giant ship carrying it on its long voyage. As the global technological competition intensifies, the two are closely intertwined and have become the core engines driving social progress. On the one hand, artificial intelligence injects an intelligent soul into information technology and unlocks brand-new application scenarios; on the other hand, the information technology industry provides a solid foundation for artificial intelligence to land and nourishes its vigorous growth. In-depth exploration of the collaborative development path of the two is of great significance for China to seize the high ground of science and technology and drive the transformation of the industry.
References
Zhou Y, Zhang X, 2023, Research and Practice on the Construction of Artificial Intelligence Specialty Group Under the Background of Information Technology Industry. Shanxi Youth, 2023(9): 97–99.
Gao D, 2022, Exploration on the Construction of Information Technology Industry College in Higher Vocational Colleges From the Perspective of Industry-Education Integration. China New Telecommunications, 24(13): 164–166.
Yu C, 2020, Research on the Evaluation and Influencing Factors of the Development of the New Generation of Information Technology Industry, thesis, Beijing University of Posts and Telecommunications.
Zhao P, 2024, Research on the Influence of Artificial Intelligence Technology Function Characteristics on Customer Collaborative Innovation Behavior of E-Commerce Platform, thesis, Guangxi University.
Zhu Y, 2023, Research and Practice of Intelligent Construction Professional Talent Training System. Chemical Industry Press, 2023: 110.
He D, Jin D, Wang Y, 2023, Construction of New Artificial Intelligence Curriculum System Under the Background of New Engineering. Software Guide, 22(6): 1–6.
Xu S, Guan D, Xu J, et al., 2022, Research on Training Artificial Intelligence Talents in Colleges and Universities for Industrial Needs. Software Guide, 21(7): 6–11.
Han S, Chen Y, Wu P, et al., 2019, Research and Practice of Multi-Disciplinary Cross Training for Graduate Students in Artificial Intelligence. Journal of Software Guide, 20(12): 247–252.
Chu H, 2017, Research Frontier Detection in the Field of Artificial Intelligence, thesis, Beijing Institute of Technology.
Yu Q, 2019, Knowledge Education in the Age of Artificial Intelligence. People’s Education, 2019(9): 47–53.
Chen D, Liu J, Pan F, et al., 2019, Exploration and Practice of New Engineering Major Construction of Automation Driven by Artificial Intelligence. Control Engineering, 31(9): 1675–1684.
Zhu Y, Li X, Zhu L, et al., 2019, Research on Teaching Reform of Artificial Intelligence Curriculum Based on OBE and Case-Driven. Journal of Software Guide, 23(11): 206–211.
Ma Z, Zhai N, Wang H, et al., 2019, Exploration and Practice of the Construction of Practical Course System for Graduate Students of Artificial Intelligence Professional Degree: A Case Study of Inner Mongolia University of Technology. Journal of Software Guide, 23(8): 174–179.
Zhao P, 2024, Research on the Influence of Functional Characteristics of AI Technology on Customer Collaborative Innovation Behavior on E-Commerce Platforms, thesis, Guangxi University.
Liu R, 2020, The Transformation of Teacher Roles in the Age of Artificial Intelligence: Challenges and Breakthroughs: Based on Heidegger’s Philosophy of Technology. Open Education Research, 2020(3): 44–50.
