Methods. The theoretical and methodological approaches presented in the publications of foreign authors on the problems of artificial intelligence and its use in business processes served as the information base of the research. The methods included analysis of case studies and surveys, expert interviews, as well as a systematic approach and modeling. Results. The article examines the impact of artificial intelligence on business operations. The capabilities of artificial intelligence to solve economic problems of business structures are characterized and the challenges faced by companies that use it in the course of their business activities are demonstrated. Research results show that artificial intelligence has the potential to significantly improve business operations, in particular, increase labor productivity, save resources and improve the process of management decision-making. The introduction of artificial intelligence through the coordination of digital data has been shown to help incrementally improve business. Novelty. The benefit of the use of artificial intelligence (AI) and machine learning (ML) technology in the innovation and dynamics of the business model of the corporate digital platform is highlighted. Practical value. Enterprises that effectively use artificial intelligence can revolutionize exciting new digital business models and practices that empower them to transform the global economic business landscape.
CITATION STYLE
Mshvidobadze, T. I. (2023). Business models and opportunities of artifical intelligence. Economic Bulletin of Dnipro University of Technology, 82, 107–111. https://doi.org/10.33271/ebdut/83.107
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