Somov Andrey Georgievich (Assistant of the Graduate School of Industrial Management, Institute of Industrial Management, Economics, and Trade, Peter the Great St. Petersburg Polytechnic University, St. Petersburg,Ph.D. in Economics)
Oleinik Dmitrii Aleksandrovich (Director of the Student Sports Club "Black Bears-Polytech", Institute of Physical Culture, Sports and Tourism, Peter the Great St. Petersburg Polytechnic University,St. Petersburg)
Kalinina Olga Vladimirovna (Director of the Graduate School of Industrial Management, Institute of Industrial Management, Economics, and Trade, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Dr.Sc. in Economics, professor)
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In the context of global competition, the emphasis is placed on innovative technologies based on AI. These algorithms facilitate big data analysis, adjust databases in the absence of sufficient economic information, and create complex economic models. These models adapt to new data and predict the dynamics of economic systems, enabling effective response to challenges and enhancing organizational resilience. The article addresses the scientific problem of optimizing managerial decisions using artificial intelligence (AI) algorithms for analyzing economic data and forecasting the dynamics of economic systems. This topic is of interest to: commercial organizations, scholars in the field of management and AI, as well as developers of innovative technologies.
Keywords:artificial intelligence, management decision support method, neural networks, economic parameters, forecasting, replenishment of the information base, hybrid systems
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Citation link:
Somov A. G., Oleinik D. A., Kalinina O. V. APPLICATION OF HYBRID SYSTEMS BASED ON ARTIFICIAL INTELLIGENCE TO ENHANCE THE MANAGEMENT DECISION-MAKING PROCESS // Современная наука: актуальные проблемы теории и практики. Серия: ЭКОНОМИКА и ПРАВО. -2023. -№09. -С. 74-78 DOI 10.37882/2223-2974.2023.09.35 |
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