IMPROVING THE QUALITY OF ORGANIZATION MANAGEMENT IN THE ERA OF DIGITALIZATION: LEADERSHIP AND NEURO-NETWORKS

Abstract

The article is devoted to the issues of business development using a modern understanding of the concept of leadership and the possibilities of integrating artificial intelligence into business processes. The purpose of this scientific paper is to study improving the quality of management of organizations in the era of digitalization through the prism of the synergy of leadership and artificial intelligence and to formulate recommendations for their successful implementation. The issue of the relevance of AI implementation is considered in the paper. The statistical data of the introduction of AI in different countries of the world were studied and the expediency and risks of application were determined using the example of well-known companies of Ukraine and the world. It has been established that the use of neural networks to improve the quality of management of organizations in the era of digitalization has significant potential for improving efficiency and rationalizing business processes. The main factors limiting the introduction of such innovative solutions have been studied. Information on the areas of application of artificial intelligence is systematized, in particular, it can be used to perform various tasks in organizations, such as business process automation, forecasting and data analysis, production management, image and voice recognition, customer interaction, and many others. On the basis of the conducted research, the authors proposed nine stages that can be included in the roadmap for the introduction of artificial intelligence in business organizations, provided that the leadership qualities of employees are developed.