Artificial intelligence in the improvement of administrative management of the enterprise

Abstract

In current business management practices, intelligent process automation (IPA) systems are gradually replacing traditional manual processes by integrating machine learning algorithms and natural language processing technologies. Intelligent decision support system based on deep neural network can quickly analyze massive data and provide accurate decision suggestions for enterprise management. Predictive analysis technology is particularly prominent in the field of talent management. Through deep mining of historical data, intelligent human resource systems can not only predict employees' turnover tendency, but also optimize talent recruitment and allocation strategies. The popularity of cloud collaborative office platform has promoted the efficiency of enterprise management to a new height, and the intelligent document processing system makes cross-department collaboration smoother and greatly reduces the cost of information transmission. The establishment of intelligent talent development platform is the in-depth consideration of the long-term development of employees. On this platform, machine learning algorithms become intelligent mentors for employee growth, which can comprehensively analyze multidimensional data such as employees' skill graph, work performance, career development trajectory, and tailor a personalized learning plan and development path for each employee. This customized growth program not only helps employees clear the direction of career development, but also makes them feel the care and support of the company. At the same time, through natural language processing technology, the intelligent training system can recommend course content intelligently according to the learning habits and interests of employees, and even provide real-time learning feedback and personalized guidance, making the learning process more efficient and interesting. This personalized learning experience not only greatly improves the training effect, but also stimulates the motivation of employees to continue learning and promotes the overall improvement of personal abilities. The collaborative application of cloud computing platform and machine learning algorithm plays an important role in enterprise risk control. The intelligent early warning system can identify and predict 95.8% of potential operational risks in advance, far exceeding the performance of traditional risk control models. The empirical research data of 500 enterprises show that enterprises adopting artificial intelligence technology have achieved significant advantages in administrative efficiency, decision-making accuracy and cost control, with average operating cost reduced by 31.5% and management efficiency increased by 47.2%, which fully confirms the core driving role of artificial intelligence technology in enterprise administrative reform.