ORGANIZATIONAL ASPECTS OF THE USE OF ARTIFICIAL INTELLIGENCE IN CONSTRUCTION

The relevance of the study is due to the growing demand of the construction industry for technological innovations that can significantly increase its efficiency and competitiveness. Modern construction projects are becoming more and more complex, therefore, traditional management methods cannot always ensure the necessary speed and accuracy of construction and assembly works. In such conditions, the introduction of artificial intelligence (AI) contributes to the automation of a significant part of the processes, more efficient use of resources, reduction of project deadlines and reduction of errors. Raising of problem. Organizational aspects of artificial intelligence (AI) application in the construction industry are considered. The purpose of the study is to determine the place of artificial intelligence in the system of organization and management of construction projects, as well as to develop key organizational approaches and strategies for its effective implementation in order to increase productivity and optimize processes in the construction industry. Object of the study: organizational and management processes in the construction sector related to the integration of artificial intelligence technologies. Subject of the study: organizational aspects, strategies and mechanisms for the implementation of artificial intelligence in construction, including technical, personnel and management approaches. Special attention is paid to the issues of integrating innovative solutions into production processes and management structures of enterprises. Possible approaches to increasing the efficiency of work organization, resource optimization and process automation using artificial intelligence are considered. The research findings emphasize the need for a comprehensive approach to the implementation of AI, which combines technological solutions with changes in organizational and management processes. The strategies proposed in the article are aimed at improving the quality and speed of implementation of construction projects, which should contribute to increasing the overall productivity of the industry.