Artificial Intellect Systems in Today’s Economic Environment
https://doi.org/10.21686/2413-2829-2024-6-23-32
Abstract
The article provides analysis of artificial intellect (AI) system development at the current stage of socio-economic relation progress. Processes of technological, finance and social system transformation are connected with application of AI technologies and systems. As processes of digitalization advance deep changes in socio-economic and social relations take place, style and nature of production forces keep altering and new forms of organizations and links turn up. The authors provide examples of AI technologies that are used in different fields of human life. Special attention is paid at using AI technologies in power-intensive spheres, such as agro-industrial complex and industrial-technological one, as they build the economic basis for sustainable development. In order to promote further development of AI systems at enterprises it is necessary to carry out a vast volume of job on digitalization of all business-processes (data-fixation and soft-verification). The article demonstrates future trends of digital transformation in production and technological systems and identifies barriers hindering the development of data technologies in the Russian Federation. Finally, conclusions were drawn about trends of AI system development.
About the Authors
N. V. Barinova
Plekhanov Russian University of Economics
Russian Federation
Russian Federation
Natalya V. Barinova, PhD, Chief Expert of the Department of Academic Events
36 Stremyanny Lane, Moscow, 109992
V. R. Barinov
Moscow Polytechnic University
Russian Federation
Russian Federation
Vladimir R. Barinov, Post-Graduate Student of the Department for Infocognitive Technologies
38 B. Semenovskaya Str., Moscow, 105094
References
1. Barinova N. V., Barinov V. R. Primenenie sistem iskusstvennogo intellekta dlya dostizheniya tseley ustoychivogo razvitiya [Application of Artificial Intelligence Systems to Achieve Sustainable Development Goals]. Vestnik Rossiyskogo ekonomicheskogo universiteta imeni G. V. Plekhanova [Vestnik of the Plekhanov Russian University of Economics], 2023, Vol. 20, No. 6 (132), pp. 26–36. (In Russ.).
2. Barinova N. V., Barinov V. R. Tsifrovaya ekonomika, Industriya 4.0 i iskusstvennyy intellekt [Digital Economy, Industry 4.0 and Artificial Intelligence]. Vestnik Rossiyskogo ekonomicheskogo universiteta imeni G. V. Plekhanova [Vestnik of the Plekhanov Russian University of Economics], 2021, Vol. 18, No. 3 (117), pp. 82–91. (In Russ.).
3. Barinova N. V., Barinov V. R. Tsifrovaya ekonomika, iskusstvennyy intellekt, Industriya 5.0: vyzovy sovremennosti [Digital Economy, Artificial Intelligence, Industry 5.0: Challenges of Modern Time]. Vestnik of the Plekhanov Russian University of Economics [Vestnik of the Plekhanov Russian University of Economics], 2022, Vol. 19, No. 5 (125), pp. 23–34. (In Russ.).
4. Grachev A. V. Primenenie neyrosetevykh tekhnologiy dlya prognozirovaniya sostoyaniya raboty obektov predpriyatiy APK [Application of Neural Network Technologies to Predict the State of Operation of Objects of Agricultural Enterprise Enterprises]. Tekhnika i tekhnologiya pishchevykh proizvodstv [Equipment and Technology of Food Production], 2023, Vol. 53, No. 4, pp. 816–823. (In Russ.).
5. Zhadobina D. A., Kosarin S. P. Primenenie iskusstvennogo intellekta v reshenii voprosov ustoychivogo razvitiya [Application of Artificial Intelligence in Solving Issues of Sustainable Development]. Munitsipalnaya akademiya [Municipal Academy], 2024, No. 1, pp. 241–248. (In Russ.).
6. Zagazezheva O. Z., Shalova S. Kh. Vozmozhnye posledstviya vnedreniya umnykh proizvodstvennykh sistem «umnaya fabrika» v period intellektualizatsii sredy obitaniya [Possible Consequences of Implementing Smart Production Systems "Smart Factory" during the Period of Intelligentization of the Habitat Environment]. Izvestiya Kabardino-Balkarskogo nauchnogo tsentra RAN [News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences], 2023, No. 6 (116), pp. 329–344. (In Russ.).
7. Ivashkin Yu. A., Nikitina M. A. Agentnye i neyrosetevye tekhnologii v situatsionnom modelirovanii tekhnologicheskikh sistem [Agent and Neural Network Technologies in Situational Modeling of Technological Systems]. Matematicheskie metody v tekhnike i tekhnologiyakh – MMTT [Mathematical Methods in Engineering and Technology – MMTT], 2021, Vol. 1, pp. 123–128. (In Russ.).
8. Karapetyan R. V., Gradusova V. N. Osobennosti realizatsii tseley ustoychivogo razvitiya v Rossiyskoy Federatsii [Features of Implementation of Sustainable Development Goals in the Russian Federation]. Upravlenie gorodom: teoriya i praktika [City Management: Theory and Practice], 2022, No. 4 (46), pp. 3–9. (In Russ.).
9. Kartechina N. V., Dorokhova A. M., Abaluev R. N., Shatskiy V. A., Gushchina A. A., Chirkin S. O. Vidy neyronnykh setey i ikh primenenie [Types of Neural Networks and their Application]. Nauka i obrazovanie [Science and Education], 2021, Vol. 4, No. 3. (In Russ.).
10. Kodaneva S. I. Iskusstvennyy intellekt kak osnova smart-biznesa [Artificial Intelligence as the Basis of Smart Business]. Possiya: tendentsii i perspektivy razvitiya [Russia: Trends and Development Prospects]. Moscow, INION RAN, 2020, Issue 15, part 1, pp. 445–449. (In Russ.).
11. Kodaneva S. I. Rol tsifrovykh tekhnologiy v obespechenii ustoychivogo razvitiya [The Role of Digital Technologies in Ensuring Sustainable Development]. Sotsialnye novatsii i sotsialnye nauki [Social Innovations and Social Sciences], 2022, No. 1 (6), pp. 58–73. (In Russ.).
12. Nikiforova N. A. Proizvoditelnost truda i ispolzovanie iskusstvennogo intellekta [Labor Productivity and Use of Artificial Intelligence]. Vestnik Altayskoy akademii ekonomiki i prava [Bulletin of the Altai Academy of Economics and Law], 2024, No. 3-1, pp. 88–94. (In Russ.).
13. Pakova O. N., Konopleva Yu. A., Khakirov A. I. Skvoznye tekhnologii v finansovom kontrollinge: kontseptsiya korporativnykh tekhnologiy [End-to-End Technologies in Financial Controlling: the Concept of Corporate Technologies]. Vestnik Severo-Kavkazskogo federalnogo universiteta [Bulletin of the North Caucasus Federal University], 2023, No. 1 (94), pp. 32–40. (In Russ.).
14. Pechnikova Yu. V. Problemy formirovaniya rynka tsifrovykh fabrik v Rossii v usloviyakh realizatsii kontseptsii Industrii 4.0 [Problems of Forming a Market for Digital Factories in Russia in the Context of Implementing the Concept of Industry 4.0]. Regionalnaya ekonomika: opyt i problemy: materialy XI Mezhdunarodnoy nauchno-prakticheskoy konferentsii (Gutmanskie chteniya) [Regional Economics: Experience and Problems. Materials of the 11en International Scientific and Practical Conference (Gutman Readings)], edited by A. I. Novikov, A. E. Illarionov. Vladimir, Vladimirskiy filial RANKHiGS, 2018, pp. 187–195. (In Russ.).
15. Polyakova L. P. Logisticheskie uslugi novogo pokoleniya [New Generation Logistic Services]. Torgovlya i rynok [Trade and Market], 2023, Vol. 2, No. 4 (68), pp. 126–133. (In Russ.).
16. Sigel S. Prediktivnaya analitika – klyuchevye idei [Predictive Analytics – Key Ideas]. Iskusstvennyy intellekt. Predskazatelnaya analitika i sistemy podderzhki prinyatiya resheniy: analiticheskiy sbornik N 5 [Artificial Intelligence. Predictive Analytics and Decision Support Systems. Analytical collection No. 5]. Moscow, MFTI, 2020, pp. 10–17. (In Russ.).
17. Shutkov A. A., Anishchenko A. N. Budushchee iskusstvennogo intellekta, neyrosetey i tsifrovykh tekhnologiy v APK [The Future of Artificial Intelligence, Neural Networks and Digital Technologies in the Agro-Industrial Complex]. Ekonomika i sotsium: sovremennye modeli razvitiya [Economy and Society: Modern Development Models], 2019, Vol. 9, No. 4, pp. 508–522. (In Russ.).
18. Eastman C., Teicholz P., Sacks R., Liston K. BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors. 3rd edition. John Wiley & Sons, Inc., 2018.
19. Li J., Li N., Peng J., Cui H., Wu Zh. A Review of Currently Applied Building Information Modeling Tools of Constructions in China. Journal of Cleaner Production, 2018, Vol. 201, pp. 358–368.
20. Marge R., Iovan Ş. Artificial Intelligence in Romania and in the European Union. Fiabilitate si Durabilitate – Fiability & Durability, 2019, No. 1, pp. 214–219.
21. Matejka P., Vitasek S. Comparison of Different Cost Estimation Methods with Use of Building Information Modelling (BI M). 17th International Scientific Conference Engineering for Rural Development, 2018, May, pp. 843–849.
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For citations:
Barinova N.V., Barinov V.R. Artificial Intellect Systems in Today’s Economic Environment. Vestnik of the Plekhanov Russian University of Economics. 2024;(6):23-32. (In Russ.) https://doi.org/10.21686/2413-2829-2024-6-23-32
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