employee from 01.01.2000 until now
employee
The modern world is characterized by a high level of uncertainty and risk, which forces organizations to look for ways to minimize the negative effects of external and internal factors. One of the most effective technologies for solving such problems is artificial intelligence (AI). It is used to analyze large amounts of data, predict events, and make recommendations to reduce economic risks. The use of these technologies in the agro-industrial complex is especially relevant, the peculiarity of which is the complexity and multidimensionality of the risks involved. The study examines the use of AI technologies to identify and reduce strategic, financial, technical, regulatory, social, personnel and environmental risks for agricultural enterprises. The main barriers to their implementation are considered. The proposed systematic approach to economic risk management helps to increase the sustainability, efficiency and adaptability of agricultural production to dynamically changing conditions, which is critically important for the sustainable development of agriculture in modern conditions.
artificial intelligence, risks, management, trends, efficiency
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