MANAGEMENT OF DIGITAL ENTERPRISE ECOSYSTEMS BASED ON ARTIFICIAL INTELLIGENCE

Abstract

The article reveals the role of artificial intelligence technologies in managing digital ecosystems of enterprises as a key factor in increasing the efficiency of management processes, integrating business processes and forming the economic value of enterprises in the context of digital transformation of the economy. The purpose of the article is to study the theoretical and applied principles of managing digital ecosystems of enterprises based on artificial intelligence technologies and to substantiate the conceptual approach to integrating intelligent analytical tools into the system of strategic management of an enterprise in the context of increasing digitalization of the economic environment. The paper examines the essence of digital ecosystems of enterprises as an integrated environment for the interaction of digital platforms, information resources and business processes, identifies areas for using artificial intelligence technologies in the processes of strategic planning, risk management, forecasting economic indicators of enterprise activities, optimizing resource provision and supporting managerial decision-making. Particular attention is paid to the use of machine learning algorithms, business analytics systems, predictive analytics and digital data integration platforms as tools for increasing the adaptability of enterprise management systems. The research methods are based on the use of a systemic approach to the analysis of digital ecosystems of enterprises, methods of structural-functional and comparative analysis to determine the role of artificial intelligence technologies in the formation of an effective enterprise management model, as well as economic and analytical methods for assessing the effectiveness of the implementation of intelligent digital technologies in the enterprise management system. The research was carried out on the basis of a generalization of modern scientific approaches to the digital transformation of enterprise management and an analysis of the practices of using artificial intelligence technologies in the activities of enterprises in the real sector of the economy. The results of the study showed that the integration of artificial intelligence technologies into the management of digital ecosystems of enterprises contributes to an increase in the accuracy of forecasting key economic indicators by 18–27%, a reduction in the time for making management decisions by 32–41% and a reduction in operating costs by 12–19% through the use of intelligent analytical systems and data integration platforms. It has been established that the use of digital ecosystems based on artificial intelligence technologies ensures increased efficiency of business process coordination, transparency of information flows and competitiveness of enterprises. At the same time, limitations of the implementation of intelligent digital technologies have been identified, associated with the insufficient level of digital maturity of enterprises, high costs of digital transformation and the shortage of qualified specialists in the field of data analysis. The conclusions indicate that the use of artificial intelligence technologies in the management of digital ecosystems of enterprises is an important direction for increasing the effectiveness of strategic management and ensuring their long-term competitiveness in the digital economy. Further research should be directed towards the development of economic and mathematical models for assessing the effectiveness of the functioning of digital ecosystems of enterprises based on artificial intelligence and the formation of integral indicators of digital maturity of enterprises.