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СтаттяЗовнішня публікація🌐 українська

ARTIFICIAL INTELLIGENCE AS A NEW TOOL OF THE FORMATION THE ECONOMIC ENVIRONMENT OF THE ENTERPRISE

Olesia AnanievaVladyslav Honchar

Анотація

The study's relevance is due to the dynamism of the economic environment of enterprises and the need to adapt to the latest technological challenges. In modern conditions of globalization and digital transformation, enterprises are faced with constant changes in the external and internal environment, which requires the implementation of innovative approaches to management. One of the promising areas is the use of artificial intelligence (AI) tools for analysis, forecasting and optimization of business processes. The scientific results confirmed that the economic environment of an enterprise is a complex system of interconnected internal and external factors. External factors include macroeconomic factors, such as government regulation, the level of competition, globalization processes and sociodemographic changes. Internal factors or the microeconomic environment include the financial condition of the enterprise, human resources potential, the level of digitalization and corporate culture. It was found that current trends in the development of the economic environment are aimed at strengthening the role of the digital economy, automating business processes and implementing big data analytics to increase competitiveness. The study identified key areas for integrating artificial intelligence into the management of the economic environment of enterprises. The use of AI technologies helps to improve the adaptive capabilities of enterprises, increase the accuracy of forecasting market changes, optimize operational activities and minimize risks. Prospects for further research include the development of a methodological basis for the comprehensive application of artificial intelligence in the economic management of enterprises, expanding the range of analytical AI tools for monitoring and adapting to changes in the external environment, as well as assessing the economic efficiency of implementing such technologies. The results of the study may be useful for scientists, and practitioners in the field of economics and management, as well as for developers of digital solutions in the field of artificial intelligence.

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