ШТУЧНИЙ ІНТЕЛЕКТ В МЕНЕДЖМЕНТІ ТА ПРИЙНЯТТІ УПРАВЛІНСЬКИХ РІШЕНЬ: МОЖЛИВОСТІ ТА МЕЖІ ЗАСТОСУВАННЯ

The purpose of this article is to determine the prospects for using artificial intelligence technologies to improve management efficiency in general and assess the prospects for its use to solve problems of operational and strategic management. Currently, two paradigms have emerged that explore the prospects for using artificial intelligence in organizational research: a paradigm that considers artificial intelligence as a set of meta-algorithms capable of finding algorithms for solving specific problems of corporate governance, and a paradigm that considers artificial intelligence as a means of optimizing the behavior of people in an organization. The key area of application of artificial intelligence in management is the process of making management decisions at the level of the board of directors. The possibilities of artificial intelligence to improve the efficiency of management decision-making are identified and determined. Among them are: ensuring the required volume and variety of information with less resource consumption, rapid analysis of large amounts of data, development of reliable scenarios for the consequences of decisions, impartiality of decisions, and others. Artificial intelligence technologies are already a useful tool for increasing the efficiency of management decision-making. The difficulties and problems standing in the way of the widespread use of artificial intelligence technologies are analyzed. The use of artificial intelligence in management is limited by a number of ethical problems related to responsibility for the consequences of decisions made, the low level of legal support for its use and specific risks, the methodology for working with which requires further development. The purpose of the study. The purpose of this study is to identify the main stages of artificial intelligence development, its classification and analysis of examples of artificial intelligence application for effective enterprise management. The main objective of the study is a comprehensive approach to the study of artificial intelligence, which includes practical application in the context of enterprise management. This will create a methodological basis for optimizing management processes using AI, seeking to integrate modern technologies into their system. The object of the study. The object of the study is the analysis of the impact of artificial intelligence on the management methods of modern enterprises in the context of digitalization and global competition. The relevance of this topic is obvious, since the effectiveness of machine learning and big data processing technologies helps in making management decisions, since in a competitive environment there is a need to improve business processes. Research methods: The research methodology is based on the following methods: comparison method, analytical method, method of studying information materials, tabular method. The main hypothesis of the follow-up. The author's hypothesis of the study is to systematize the stages of development of artificial intelligence, as well as analyze the possibilities of its application in enterprise management using specific examples, to identify both positive and negative key factors that contribute to improving management efficiency. Present of the main material. The increasing complexity of problems and the ever-increasing volume of information and knowledge that decision makers in organizations must master highlight the need for a decision support system based on advanced and modern technologies. An intelligent decision support system that makes extensive use of artificial intelligence techniques to support decision makers based on machine learning takes into account large volumes of data using artificial intelligence. Deep learning solutions enable machines to solve complex problems even when using highly diverse, unstructured and interconnected data sets. Major advances in computing and technology, coupled with society’s trust in machine learning, have laid the foundation for using huge amounts of data to improve productivity and sustainability. The implementation of artificial intelligence (AI) as a means of improvement has been tried in several sectors over the past decade. However, it has only recently become clear that AI can be used to improve the decision-making process. In particular, the implementation of AI technologies can enable managers to make more effective decisions that improve production efficiency. Conclusions and prospects for further research. Overall, artificial intelligence can significantly improve the efficiency and effectiveness of an enterprise management system. It allows you to automate routine tasks, make more informed decisions based on data, predict future events and trends, and improve customer service. The conducted research shows that modern enterprises and businesses widely use the capabilities of artificial intelligence, but despite significant advances in technology development, there is a need for more research on the possibility of integrating AI. The examples of successful application of technologies identified in the study serve as a basis for further research and practical recommendations..