Keywords
artificial intelligence
management solutions
enterprise management
advantages
disadvantages
How to Cite
Abstract
This article examines the need to use artificial intelligence in enterprise management. The latest artificial intelligence systems have the ability to actively develop and, at the same time, adapt to the dynamic conditions of modernity without the need for continuous human control. The main need for the use of artificial intelligence in enterprise management is to improve its functioning by automating tasks. For example, using artificial intelligence in the process of making management decisions, it is possible to form a unique vision and identify proposals of this kind that may be overlooked by humans due to a low level of awareness or analytical thinking when organizing a system for making such decisions. Therefore, the use of artificial intelligence in business management aims to improve management decisions. The purpose of the study is to analyze the use of artificial intelligence in enterprise management, which plays an important role in modern business, as it provides an opportunity to change the usual approaches to management. To achieve this goal, the following tasks will be performed: to investigate the state of the use of artificial intelligence in enterprise management; to show the main advantages and disadvantages of using this technology. The methodology for researching the use of artificial intelligence in enterprise management is based on the use of such methods of scientific knowledge as analysis and synthesis, induction and deduction, system analysis, graphical method, grouping, and generalization. The use of the above methods allows for a comprehensive analysis of the impact of artificial intelligence on the activities of both management personnel and the enterprise as a whole, taking into account all theoretical and practical aspects. Based on the results of the study, it can be concluded that accuracy and automation, which are based on the use of artificial intelligence, can significantly improve the efficiency of time management and minimize costs. At the same time, dynamic monitoring can have a moderate impact on enterprise management, and computing power has a largely limited impact on business. Therefore, enterprises must now clearly define the main tools of accuracy and automation in order to achieve immediate process optimization and systematic integration of operational analytics in line with changes in the digital environment.
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