SOME ASPECTS OF ECONOMIC SECURITY OF A LARGEREGIONAL ENTERPRISE: PLANNING BUSINESS PROCESSES

In the context of increasing threats to economic security with sanctions pressure, the
importance of scientific research based on new technologies for analyzing and improving business
processes of regional enterprises that provide the contour of economic security of the country is
growing. The purpose of the article is to acquaint the reader with the results of applying modern
methods for studying business processes at enterprises using new machine learning technologies.
Research methods are statistical models based on machine learning, machine learning algorithms for
analyzing business processes. The information base of the study includes information and statistical
data from information and analytical systems. The methods used in the study are inductive learning
to identify empirical patterns in the data, deductive learning to formalize the knowledge of experts
and transfer it to the database.
Results and main conclusions - improving business processes based on machine learning
technologies has proven its effectiveness, which was reflected in the positive dynamics of the
economic indicators selected in the study