Subject. Digital transformation of the agro-industrial complex necessitates the use of artificial intelligence technologies and big data analysis as key factors in increasing the efficiency of agricultural production. Objectives. The article aims at the analysis of international and Russian experience in the implementation of artificial intelligence technologies. Methods. The study rests on the analysis of scientific publications, method of comparative analysis, the systems approach, which enables objective examination of the impact of artificial intelligence and big data on agriculture. Results. We assessed the level of digitalization of agriculture in Russia and in the leading agricultural countries, identified key differences and factors influencing the pace of technology adoption. This helped reveal best practices and consider their potential for adaptation in domestic conditions. Furthermore, we examined interrelationships between various elements of digital transformation, defined existing barriers and possible ways to overcome them. The results obtained are of practical importance for the agro-industrial complex of the Republic of Tatarstan, as they contribute to strategies formation for digital transformation of the industry. Conclusions. The integration of AI technologies and big data analysis methods will increase agricultural productivity, reduce costs, and improve the management system of agricultural enterprises. The study enables to identify key barriers to the introduction of these technologies and offer recommendations to overcome them. The latter is especially important for small and medium-sized agricultural enterprises in the region.
Keywords: artificial intelligence, big data, digitalization, agro-industrial complex
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