Issues of introducing artificial intelligence into industrial production
Abstract and keywords
Abstract (English):
This article analyzes the possibilities and trends of industrial modernization through the introduction of artificial intelligence technologies into production processes. In recent decades, artificial intelligence has become an integral part of many areas of human activity, and industrial production is no exception. In the context of globalization and the rapid development of technology, enterprises are faced with the need to improve their efficiency and competitiveness. The author examines the use of artificial intelligence, exploring its advantages, opportunities and prospects, and also shows how quickly artificial intelligence technologies are being introduced into the economy and social sphere, covering more and more industries. At the same time, the author shows and analyzes the main challenges and problems that arise with the widespread introduction of artificial intelligence into production processes. The purpose of this article is to consider the possibilities of using artificial intelligence in production processes, analyze the main problems and challenges that arise, and assess the prospects for further development. Based on the conducted research, it can be concluded that modern artificial intelligence technologies represent a dynamic and developing field that requires constant attention and adaptation to new challenges and opportunities. Companies that can successfully adapt to this technological revolution will gain significant competitive advantages and will be able to achieve outstanding results. Artificial intelligence is not just the future of industry, it is the present, which is already changing the world. The novelty of this study lies in an attempt to consider the patterns and trends of the introduction of artificial intelligence technologies into the production processes of industrial enterprises, based on modern realities and prospects for further development. Thus, this work is aimed at a comprehensive study of the potential of artificial intelligence, which makes it possible not only to assess the current state of affairs, but also to outline ways for further development and optimization of production processes.

Keywords:
digital technologies, Industry 4.0, artificial intelligence, optimization, competitiveness, production processes, productivity
Text
Text (PDF): Read Download
References

1. Avdeeva I. L. Novye formy razvitiya informacionnyh sistem podderzhki biznesa v usloviyah globalizacii // Nacional'nye interesy: prioritety i bezopasnost'. 2017. T. 13. №. 4 (349). S. 760-772. DOI: https://doi.org/10.24891/ni.13.4.760; EDN: https://elibrary.ru/YLOOVF

2. Cifrovaya transformaciya ekonomiki i promyshlennosti: problemy i perspektivy / pod red. d-ra ekon. nauk, prof. A. V. Babkina. – SPb. : Izd-vo Politehn. un-ta, 2017. – 807 s.

3. Kuo Y.H., Kusiak A. From data to big data in production research: the past and future trends, Int. J. Prod. Res. 57, 2018. – pp. 4828-4853. DOI: https://doi.org/10.1080/00207543.2018.1443230

4. Bolotova, L.S. Sistemy iskusstvennogo intellekta: modeli i tehnologii, osnovannye na znaniyah: Uchebnik. M.: Finansy i statistika, 2012. - 664 c. EDN: https://elibrary.ru/QMXCUB

5. Gorodnova N.V. Primenenie iskusstvennogo intellekta v biznes-sfere: sovremennoe sostoyanie i perspektivy // Voprosy innovacionnoy ekonomiki. 2021. №4. S. 1473-1492. DOI: https://doi.org/10.18334/vinec.11.4.112249; EDN: https://elibrary.ru/MGHEPK

6. Osadchuk E.V. Cifrovizaciya promyshlennosti: bar'ery na puti vnedreniya iskusstvennogo intellekta i predlozheniya po ih preodoleniyu // Upravlenie naukoy: teoriya i praktika. 2022. T.4. №2. S. 201-209. DOI: https://doi.org/10.19181/smtp.2022.4.2.17; EDN: https://elibrary.ru/CBCDZA

7. Popova E.V. Rossiyskiy opyt vnedreniya iskusstvennogo intellekta v menedzhment predpriyatiya // Innovacii i investicii. 2023. №6. S. 76-82. EDN: https://elibrary.ru/MGNHVJ

8. Sopina N.V., Makkaeva R.S.A.. Perspektivy vnedreniya neyrosetey i iskusstvennogo intellekta na promyshlennom proizvodstve // Journal of Monetary Economics and Management. 2023. №3. S. 222-227. DOI: https://doi.org/10.26118/2782-4586.2023.78.70.032; EDN: https://elibrary.ru/SJHYYC

9. Gavrilova, A.N., Popov A.A. Sistemy iskusstvennogo intellekta. M.: KnoRus, 2011. - 248 c.

10. Ledovskaya E.D. Iskusstvennyy intellekt protiv avtomatizacii: sposobny li neyroseti zamenit' cheloveka v kreativnyh industriyah // Mezhdunarodnyy zhurnal gumanitarnyh i estestvennyh nauk. 2024. №5-1 (92). S. 246 – 248. DOI: https://doi.org/10.24412/2500-1000-2024-5-1-246-248; EDN: https://elibrary.ru/EEFIWR

11. Larionova M.A., Babeshko B.H. Perspektivy primeneniya iskusstvennogo intellekta v legkoy promyshlennosti // Mezhdunarodnyy nauchno-issledovatel'skiy zhurnal. 2021. №7-1 (109). S. 89-92. DOI: https://doi.org/10.23670/IRJ.2021.109.7.013; EDN: https://elibrary.ru/WMUEQT

12. Mihaylov S.S. Razvitie iskusstvennogo intellekta: ot serediny XX veka do sovremennyh tehnologicheskih dostizheniy // mezhdunarodnyy nauchnyy zhurnal «Vestnik nauki». 2024. №1 (70). T.2. S. 716-719. EDN: https://elibrary.ru/PQJRVF

13. Kruglov, V. V. Iskusstvennye neyronnye seti. Teoriya i praktika / V. V. Kruglov, V. V. Borisov. — M.: Goryachaya liniya — Telekom, 2001. — 290 s.

14. Razvitie iskusstvennogo intellekta [Elektronnyy resurs] URL: https://cyberleninka.ru/article/n/razvitie-iskusstvennogo-intellekta/viewer (Data obrascheniya: 10.08.2025 g.).

15. Absalyamova G.F., Rafikov R.I. Preimuschestva i riski II v biznese i rynke truda // Skif. voprosy studencheskoy nauki. 2023. №5 (81). S. 434-438. EDN: https://elibrary.ru/SHOSRC

16. Balashov A.M. Ispol'zovanie IT-tehnologiy v razlichnyh sferah deyatel'nosti i formirovanie novoy informacionno-cifrovoy real'nosti.// Teoreticheskaya ekonomika. 2022. T.93. №9. S. 35-41. DOI: https://doi.org/10.52957/22213260_2022_9_35; EDN: https://elibrary.ru/SUQQUI

17. Teksler A.L. Cifrovizaciya energetiki: ot avtomatizacii processov k cifrovoy transformacii otrasli. // Energeticheskaya politika. 2018. №5.S.3-6. EDN: https://elibrary.ru/VNTATC

18. Barret D. Poslednee izobretenie chelovechestva: iskusstvennyy intellekt i konec ery Homo sapiens. M., Al'pina nonfikshn, 2015. – 304 s.

19. Borovskaya E.V. Davydova N.A. Osnovy iskusstvennogo intellekta: uchebnoe posobie. M., BINOM. Laboratoriya znaniy, 2014. – 127 s.

20. Mal'ceva I.F, Shul'gina Yu.V. Ispol'zovanie sistem iskusstvennogo intellekta v upravlencheskih i proizvodstvennyh processah // Estestvenno-gumanitarnye issledovaniya. 2024. №5 (55). S. 220-228. EDN: https://elibrary.ru/HFRTQQ

21. Hodzhaeva D.F., Alieva M.H., Kurbanova Sh.M. Rol' iskusstvennogo intellekta v proizvodstve // Nauka, tehnika i obrazovanie. 2021. №4 (79). S. 37-39. EDN: https://elibrary.ru/HGJDOJ

22. Voznyuk P.A. Istoriya razvitiya i sovremennoe sostoyanie iskusstvennogo intellekta // Globus: tehnicheskie nauki. 2019. №3 (27). S. 11-19.

23. Materova E.S., Aksenova Zh.A., Sharafullina R.R., Galimova G.A., Shilov M.L. Cifrovizaciya deyatel'nosti rossiyskih kompaniy gornodobyvayuschey otrasli. Ugol'. 2024. № 11. S. 117–121. DOI: https://doi.org/10.18796/0041-57902024-11-117-121; EDN: https://elibrary.ru/MAGPBB

24. Cifrovizaciya promyshlennosti. Obzor TAdviser. [Elektronnyy resurs]. URL: www.tadviser.ru/index.php/Stat'ya: Obzor_Cifrovizaciya_promyshlennosti_2024 (data obrascheniya: 21.08.2025).

25. Obidenko A.V., Shaburova A.V. Obosnovanie neobhodimosti obespecheniya informacionnoy bezopasnosti // Interekspo GEO-Sibir'. 2021. T.6. S.235-239. DOI: https://doi.org/10.33764/2618-981X-2021-6-235-239; EDN: https://elibrary.ru/LYHDKF

26. Epshteyn D.B. O razvitii APK na osnove cifrovoy transformacii.// Rossiyskiy ekonomicheskiy zhurnal. 2023. № 5. S. 46-62. DOI: https://doi.org/10.52210/0130-9757_2023_5_46; EDN: https://elibrary.ru/TUNQSH

27. Vayl Piter, Vorner Stefanii. Cifrovaya transformaciya biznesa: Izmenenie biznes-modeli dlya sozdaniya kompanii novogo pokoleniya; perevod s angl. M.: Al'pina Pablisher, 2023. – 257 s.

28. Sulimov M.Yu. Cifrovaya transformaciya v gornodobyvayuschem sektore Rossii: osobennosti i strategicheskie podhody // Gornaya promyshlennost'. 2025. № 4. S. 104-108. DOI: https://doi.org/10.30686/1609-9192-2025-4-104-108; EDN: https://elibrary.ru/ESTSPS


Login or Create
* Forgot password?