USE OF ARTIFICIAL INTELLIGENCE IN RISK MANAGEMENT OF INDUSTRIAL ENTERPRISES

Анотація

The article examines the theoretical and practical aspects of using artificial intelligence in the risk management system of industrial enterprises. It is substantiated that traditional risk management approaches based on historical data and expert judgment do not provide sufficient effectiveness under conditions of high uncertainty and a dynamic external environment. The essence of artificial intelligence as a tool for analyzing large volumes of structured and unstructured data is defined, along with its role in improving the quality of managerial decision-making. Key areas of artificial intelligence application in the processes of risk identification, assessment, forecasting, and monitoring are analyzed. It is established that the use of machine learning algorithms, deep learning, natural language processing, and Big Data analytics contributes to improving the accuracy of risk assessment and facilitates the transition from reactive to proactive management. The advantages of AI application are substantiated, including process automation, increased speed of processing large volumes of information in real time, reduction of the human factor influence, and adaptability to environmental changes. The features of artificial intelligence application in managing financial, operational, strategic, regulatory, and technical risks are considered. The expediency of using integrated digital platforms and hybrid models combining the capabilities of artificial intelligence and human intelligence is proven. The main implementation challenges are identified, including the opacity of algorithms leading to difficulties in model interpretation, risks of confidential data leakage, algorithmic bias, and insufficient staff qualifications. Practical recommendations for improving risk management efficiency are proposed, including phased implementation of AI, development of digital competencies, ensuring data quality and security, and integration of intelligent systems into key business processes. It is proven that the use of artificial intelligence is an essential condition for ensuring the resilience and competitiveness of industrial enterprises in the digital economy.

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