The development of artificial intelligence (AI) and 5G network technology has changed the production and lifestyle of people. AI also has promoted the transformation of talent training mode under the integration of college industry and education. In the context of the current transformation of education, AI and 5G networks are increasingly used in the education industry. This paper optimizes and upgrades the training mode of skilled talents in higher vocational colleges by using its advanced methods and technologies of information display. This means is helpful to analyze and solve a series of objective problems such as the single training form of the current talent training mode. This paper utilizes the principles and laws of industry university research (IUR) collaboration for reference to construct and optimize the talent training mode based on the analysis of the requirements of talent training and the role of each subject in talent training. Then, the ecological talent training environment can be realized. In the analysis of talent training mode under the cooperation of production and education, the correlation coefficients of network construction, environment construction, scientific research funds, scientific research level, and policy support were 0.618, 0.576, 0.493, 0.785, and 0.451, respectively. This showed that the scientific research level had the greatest impact on talent training in the talent training mode of IUR collaboration, while policy support had less impact on talent training compared with other factors. The combination of AI and 5G network technology with the talent training mode of IUR cooperation can effectively analyze the influencing factors and problems of the talent training mode. The hybrid method is of great significance to the talent training strategy and fitting degree.

Research issue: The study is driven by contemporary global challenges regarding the stability and efficiency of production processes, the necessity to enhance competitiveness, and ensuring workplace safety, which demands a systematic approach to monitoring and supervising adherence to labour discipline. The research is theoretical in nature. The aim/objective of the study is to analyse the specifics of state policy on supervision and control over employees’ adherence to labour discipline, the peculiarities of its practical implementation, and perspectives for improvement. Method: The study employed a logical-semantic method, analytical and documentary methods of analysis, and the method of expert assessment of labour discipline of employees and employers based on their evaluation of certain aspects of labour discipline. The research methodology included a sample size of 30 respondents, and the research instrument was expert evaluation. Data collection was conducted through surveys, and the calculation method was quantitative. Results: The article examines the impact of the main incentives and methods on ensuring labour discipline, determining their essence and forms of manifestation. It also considers the extent of application of each method in enterprise practices. It was found that economic methods are widely used and aimed at increasing employee motivation and maintaining their labour discipline. The analysis revealed that the main manifestations of employee labour discipline and managerial duties are differences in the perception of labour discipline by both parties. It was found that employers underestimate the productivity and abilities of employees, indicating potential systemic deficiencies in human resource management. Conversely, employees note that managers ignore their needs and problems. The results of the expert evaluation showed that employees rated their discipline higher than employers did. These discrepancies in evaluations could affect internal relations within the team and require managerial attention to improve interaction and cooperation. Conclusion: Based on the assessment of labour discipline, systemic deficiencies in human resource management were identified, highlighting the need for appropriate monitoring and employee motivation mechanisms. The study proposes innovative personnel management methods to ensure labour discipline in enterprises, including HR branding, team building, mentoring, and grading. It is proven that these approaches allow for the creation of a fundamentally new management system to ensure compliance with labour discipline and the development of professionalism and employee motivation.