On the issue of industrial production intellectualization process in Russia

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The article examines the problems of industrial production intellectualization as a basic component for achieving technological sovereignty of Russia, which will allow achieving technological leadership in the world market. Particular attention is paid to the factors hindering the process of industrial intellectualization, among which are: insufficient maturity of IT products, low level of industrial automation. It is noted that the process of digital transformation of Russian organizations is not yet systemic, since there is no «digital maturity» of industry, which is a step-by-step process of transformations in industrial production based on its automation, then robotization, and at the third stage—already on the basis of intelligent superstructures of production management based on artificial intelligence. It is emphasized that the intellectualization of industrial production, its active stage begins with the beginning of the use of artificial intelligence in making management decisions. The purpose of the work: to analyze the process of industrial intellectualization and the dependence of industrial development on scientific and technological potential. The problems of industrial intellectualization are considered from the position of integration of scientific, technical and industrial spheres of the Russian economy. The theoretical basis of the scientific work was the use of general scientific methods of cognition to the processes under study, and the use of a logical approach made it possible to interpret the results obtained in the work for conclusions and formulate some proposals for the interaction of scientific, technical and industrial spheres of the real economy. It is concluded that Russia has resources and opportunities for the intellectualization of industrial production in order to achieve technological sovereignty and improve the efficiency of industry, which meet the goals of the Strategy for Scientific and Technological Development of the Russian Federation.

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Sobre autores

Lyudmila Kapranova

Financial University under the Government of the Russian Federation

Autor responsável pela correspondência
Email: LKapranova@fa.ru
ORCID ID: 0000-0001-9130-1252
Código SPIN: 1874-9887

Cand. Sci. (Econ.), Associate Professor of the Department of Corporate Finance and Corporate Governance

Rússia, Moscow

Olga Abrosimova

Financial University under the Government of the Russian Federation

Email: Omabrosimova@fa.ru
ORCID ID: 0000-0002-8889-0989
Código SPIN: 9437-5576

Junior Researcher, Institute of Financial and Industrial Policy

Rússia, Moscow

Bibliografia

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2. Fig. 1. Implementation of AI-based solutions by Russian organizations, 2021, 2023, 2024, in% of all organizations.

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3. Figure 2. Use of AI technologies in 2021-2024, as a percentage of organizations using AI.

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4. Fig. 3. The main problems in companies using AI technologies, 2021-2024, in % of all organizations.

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5. Fig. 4. The automated process control system market in Russia for the period from 2019 to 2024, million rubles.

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