Application of artificial intelligence methods for enterprise operational risk management

dc.contributor.authorSkorin Y.
dc.description.abstractThe activity of manufacturing enterprises in Ukraine in modern conditions is characterized by a high level of uncertainty, the influence of a large number of external and internal factors, as well as the degree of risk that grows. In such circumstances, enterprises need to understand approaches and methods for assessing the impact of potential risks on their activities and be able to manage them in order to mitigate them. The management of the enterprise needs to learn how to timely assess and take into account risk factors when making important management decisions, effective organization of the process of assessment and risk reduction will help to quickly adapt the activities of enterprises to unstable and rapidly changing conditions of the external and internal environment. The use of the latest technologies, such as artificial intelligence, will increase the level of risk management, reduce the error rate, and increase the efficiency of the enterprise. One of the main trends in the work of enterprises is the transition to "smart" production. Smart manufacturing aims to transform the data obtained over the entire life cycle of a product into production analysis in order to have a positive impact on all aspects of production.
dc.identifier.citationSkorin Y. Application of artificial intelligence methods for enterprise operational risk management / Y. Skorin // IT - простір сьогодення : тенден-ції, іновації та перспективи розвитку : збірник тез доповідей ІІ міжнародної науково-практичної студентської конференції, 15 жовтня 2025 р. – Харків : ХНУ ім. В.Н. Каразіна, 2025. – С. 296 –298.
dc.identifier.urihttps://repository.hneu.edu.ua/handle/123456789/37777
dc.language.isoen
dc.subjectanalys
dc.subjectdeveloped
dc.subjectbot
dc.subjectmethod
dc.subjectmodeling
dc.subjectsystem
dc.titleApplication of artificial intelligence methods for enterprise operational risk management
dc.typeArticle

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