Scientific journal NRU ITMO
Series "Economics and Environmental Management"
Registration certificate ЭЛ № ФС 77 – 55411 от 17.09.2013
registered by the Federal Inspectorate Service for Communication, Information Technologies and Communication Media
ISSN:2310-1172

September 2025 (published: 15.09.2025)

Number 3(62)

Home > Issue > Use of artificial intelligence technologies in organizational management

UDC 004.838

DOI 10.17586/2310-1172-2025-18-3-66-75

Use of artificial intelligence technologies in organizational management

Makarova O.N., Martynenko O.V. , Poleshchuk S.M. , Shalygina E.V.

Article in Russian
Reference for citation: Makarova O.N. Martynenko O.V. Poleshchuk S.M. Shalygina E.V. Use of artificial intelligence technologies in organizational management. Scientific journal NRU ITMO. Series «Economics and Environmental Management». 2025. № 3. Р. 66-75. DOI: 10.17586/2310-1172-2025-18-3-66-75.

Abstract. The relevance of the research is due to the rapid introduction of artificial intelligence (AI) technologies in the management of organizations, which transforms both operational processes and strategic planning. The article analyzes the impact of AI on tangible and intangible production values, considers the key methods of its application (predictive analytics, Big Data processing, decision automation), and estimates the forecasts of economic effect for Russia until 2035. The object of the study is AI technologies in management processes, the subject is their role in improving the efficiency of organizations and shaping new management paradigms. The following risks are highlighted: energy costs of AI systems, ethical issues of algorithm transparency, dependence on data quality and infrastructure. Using the example of Russian companies (Rosatom, X5 Group, SDEK), it is shown that the mass introduction of AI requires not only investment, but also a balanced approach that combines technological innovation with the human factor.The study confirms that AI is becoming a critical tool for organizations' competitiveness in the conditions of digital transformation. However, its successful integration is impossible without the development of the regulatory framework, training and cross-sector cooperation.

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Keywords: artificial intelligence, organization management, Big Data, digital transformation, HR management, predictive analytics, economic effect, regulatory framework.

References:

1. Emel'yanenko V.V. VTsIOM. Vnedrenie iskusstvennogo intellekta v biznes vyroslo v dva raza // Rossiiskaya gazeta. 2024. 12 dekabrya. 2. Koval'chuk rasskazal o posledstviyakh razvitiya sistem tipa ChatGPT. // Nauka TASS. Elektron. dan. Minsk, 2023. 3. Entsov Yu. Esli navedem poryadok s den'gami, kreditami, proizvodstvom, cherez neskol'ko let podnimemsya okrepshimi / Akademik Glaz'ev // Svoboda pressy. 2022. - 13 marta. 4. Chto obshchego u uchitelei i uborshchikov? Ob"yasnyaet Mikhail Khazin // Radio Sputnik. - 2025. - 3 fevralya. - URL: https://radiosputnik.ru/20250203/tekhnologii-1976231203.html (data obrashcheniya: 04.05.2025). 5. Fedotova D. Deputat Babakov: nuzhno sformirovat' normativnuyu bazu v sfere II dlya stran BRIKS // MyEconomy.ru. 2025. 13 yanvarya. URL: https://www.myeconomy.ru/mneniya/deputat-babakov-nuzhno-sformirovat-normativnuyu-bazu-v-sfere-ii-dlya-stran-briks/ (data obrashcheniya: 04.05.2025). 6. Zagvozdkina K.V. Gosdume poyavilas' rabochaya gruppa po regulirovaniyu II // Redaktsiya Forbes. 2025. 9 aprelya. 7. Polyak M. Skoring Sberbanka: chto eto takoe i po kakim pokazatelyam Sber otsenivayut zaemshchika // Redaktsiya ot: 04.10.2022. URL: https://fcbg.ru/skoring-sberbanka (data obrashcheniya: 04.05.2025). 8. Surkov V.V. Metody ispol'zovaniya tekhnologii iskusstvennogo intellekta v sisteme upravleniya chelovecheskimi resursami organizatsii // Journal of Monetary Economics and Management. 2025. № 1. 9. «Perspektivy i problemy ispol'zovaniya tekhnologii Iskusstvennogo intellekta v regionakh Rossiiskoi Federatsii»: aprel' 2022 g. [Elektronnyi resurs] URL: https://www.csr.ru/upload/iblock/82f/tse64fmdsetwhhpd6e57a3wjtsud6mdx.pdf (data obrashcheniya: 04.05.2025). 10. Korporativnyi II v deistvii: samye yarkie keisy v Rossii // Komp'yuterra. [Elektronnyi resurs] URL: https://www.computerra.ru/308189/korporativnyj-ii-v-dejstvii-samye-yarkie-kejsy-v-rossii/ (data obrashcheniya: 04.05.2025). 11. Sibirtsev S. «Rosatom» rasskazal, na kakom etape nakhoditsya vnedrenie II v promyshlennost' // Ruposters. [Elektronnyi resurs] URL: https://ruposters.ru/news/27-04-2024/rosatom-rasskazal-kakom-etape-nahoditsya-vnedrenie-promishlennost (data obrashcheniya: 04.05.2025). 12. Vinogradov E. Severstal' vnedryaet sistemu inspektsii metalloprokata na osnove iskusstvennogo intellekta // Prometall. info. [Elektronnyi resurs] URL: https://www.prometall.info/novosti/severstal_vnedryaet_sistemu_inspektsii_metalloprokata_na_osnove_iskusstvennogo_intellekta (data obrashcheniya: 04.05.2025). 13. Klyakhin D. Sberbank vnedril iskusstvennyi intellekt uzhe v 85% protsessov // banki.ru [Elektronnyi resurs] URL: https://www.banki.ru/news/lenta/?id=11001653 (data obrashcheniya: 21.05.2025). 14. Mironenkov A. Vnedrenie tekhnologii na baze II mozhet prinesti X5 v 2024 godu milliardy rublei // TASS. [Elektronnyi resurs] URL: https://tass.ru/ekonomika/20612945 (data obrashcheniya: 04.05.2025). 15. «Vliyanie tsifrovizatsii na neftegazovuyu promyshlennost': ot analiza dannykh do umnykh skvazhin» // Nprom Online. [Elektronnyi resurs] URL: https://nprom.online/technology/vliyanie-czifrovizaczii-na-neftegazovuyu-promyshlennost-ot-analiza-dannyh-do-umnyh-skvazhin/ (data obrashcheniya: 14.05.2025). 16. Dranev Yu.Ya., Kuchin I.I., Miryakov M.I. Ekonomicheskii effekt ot vnedreniya tekhnologii iskusstvennogo intellekta v Rossii. –M. ISIEZ NIU VShE. [Elektronnyi resurs] URL: https://issek.hse.ru/news/1022068478.html (data obrashcheniya: 04.05.2025). 17. Skripnichenko P. Kak primenyat' iskusstvennyi intellekt v sfere obrazovaniya // Kontur.ru. [Elektronnyi resurs] URL: https://kontur.ru/talk/spravka/56138-iskusstvennyy_intellekt_v_sfere_obrazovaniya (data obrashcheniya: 14.05.2025). 18. Kumar N. Statistika bol'shikh dannykh 2025: rost i rynochnye dannye // Demand Sage. [Elektronnyi resurs] URL: https://www.demandsage.com/big-data-statistics/ (data obrashcheniya: 14.05.2025). 19. Feadmin. II v HR: kak iskusstvennyi intellekt transformiruet upravlenie personalom v 2025 godu / Feadmin // Fedag Tech. [Elektronnyi resurs] URL: https://fedag.tech/blog/ii-v-hr/ (data obrashcheniya: 14.05.2025). 20. Batalina E., Kuznetsov N. Iskusstvennyi intellekt v HR. Keisy rossiiskogo rynka // TeDo. – Avgust 2024. 21. Tishaninova T.V. Budushchee uzhe zdes': kak II prishel v sferu HR // Proektno-uchebnaya laboratoriya ekonomicheskoi zhurnalistiki NIU VShE. [Elektronnyi resurs] URL: https://economics.hse.ru/ecjourn/news/986194649.html (data obrashcheniya: 18.05.2025).

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