Analysis of the World Experience in the Use of Artificial Intelligence to Optimize Business Processes of Enterprises
https://doi.org/10.22394/1726-1139-2023-1-107-120
Abstract
The relevance of the topic of the article is due to the importance of artificial intelligence as a tool for optimizing business processes of enterprises. The purpose of the article is to analyze the level of research in the field of artificial intelligence in the world. Tasks: conducting a qualitative analysis of the state of the global artificial intelligence market, establishing market development trends and factors. Methods. System approach, logical analysis, synthesis. Results. The world leaders in the field of artificial intelligence research are the USA, China, Japan, India, as well as high-tech multinational corporations. The main segment for venture investments are healthcare companies. The volume of venture deals in the field of artificial intelligence in 2021 amounted to about $ 66.8 billion. China provides significant state financial assistance to its companies working in the field of artificial intelligence. Artificial intelligence technologies have every chance to become a priority target for investments of over 30% of companies in the world and the basis for the growth of the global gross domestic product. The Asian market is actively developing, but the United States remains the leader in the number and volume of investments in the field of artificial intelligence. Conclusions. There are positive factors contributing to the development of artificial intelligence technologies (the growth of company stock prices, the beginning of the virtualization of digital space), and negative ones (the emerging shortage of semiconductors and the “arms race” in the field of artificial intelligence), trends are outlined towards the creation of large models and data, ethical and sovereign artificial intelligence, artificial intelligence technologies are actively developing for military tasks.
About the Author
K. I. Dementev
Russian Presidential Academy of National Economy and Public Administration (North-West Institute of Management of RANEPA)
Russian Federation
Russian Federation
Kirill I. Dementev, Postgraduate Student of the Department of Economics of the Faculty of Economics and Finance
Saint Petersburg
References
1. Babich V. N., Kirillova E. A. Review of individual issues and the field of big data and artificial intelligence. M. : FKU “GIAC of the Ministry of Internal Affairs of Russia [M. : FKU “GIAC MVD Rossii], 2019. 148 p. (in Rus).
2. Berezina E. A. Autonomous motor vehicles: legal experience of Singapore, China and South Korea // Asia-Pacific region: economics, politics, law [Asiatsko-Tihookeanskiy region: ekonomika, politika, pravo]. 2022. Vol. 24. N 3. P. 100–123 (in Rus).
3. Biryukov P. N. Activity of the USA in the field of artificial intelligence use // Bulletin of the VSU. Ser.: Law [Vestnik VGU. Seria: Pravo]. 2019. N 3 (38). Р. 324–334 [Electronic source]. URL: https://cyberleninka.ru/article/n/deyatelnost-ssha-v-sfere-ispolzovaniya-iskusstvennogo-intellekta (accessed: 12.11.2022) (in Rus).
4. Bukhtiyarova T. I. Digital economy: features and development trends // Business and society [Biznes i obshestvo]. 2019. N 1 (21). P. 22. EDN FUXDMV (in Rus).
5. Gorodnova N. V. Application of artificial intelligence in the business sphere: current state and prospects // Issues of innovative economy [Voprosy innovacionnoy economiki]. 2021. Vol. 11. N 4. P. 1472–1492 (in Rus).
6. Karpova N.P., Evtodieva T. E. Logistic innovations: the essence, types and methods of financing // Economics, entrepreneurship and law [Ekonomika, predprinimatelstvo i pravo]. 2020. N 7. Р. 2063–2072 (in Rus).
7. Kostyukova K.S. The policy of digital transformation of Japan on the example of the development of artificial intelligence technology // MIR (Modernization. Innovation. Development) [MIR (Modernizacia. Innovacii. Razvitie)]. 2019. Vol. 10. N 4. P. 516–529 (in Rus).
8. Kostyukova K.S. Digitalization of the Japanese economy by the example of the banking sector: current results, prospects and problems // MIR (Modernization. Innovation. Development) [MIR (Modernizacia. Innovacii. Razvitie)]. 2021. Vol. 12. N 4. P. 434–449 (in Rus).
9. Matyushok V. M., Krasavina V. A., Matyushok S. V. The world market of artificial intelligence systems and technologies: formation and development trends // Bulletin of the Peoples’ Friendship University of Russia. Series: Economics [Vestnik Rossiyskogo universiteta drugby narodov. Seria: Ekonomika]. 2020. Vol. 28. N 3. P. 505–521 (in Rus).
10. Reshetnikova M.S. Chinese experience in the development of artificial intelligence: industrial digitalization // Bulletin of the Peoples’ Friendship University of Russia. Series: Economics [Vestnik Rossiyskogo universiteta drugby narodov. Seria: Ekonomika]. 2020. Vol. 28. N 3. P. 536–546 (in Rus).
11. Smirnov E.N. Features of differentiation of levels of innovative development of countries in the modern world economy // Modern Russian science through the eyes of young researchers. Sat. tr. III International Scientific and Practical Conference of young scientists and specialists, Krasnoyarsk, February 28, 2013. Krasnoyarsk : LLC “Scientific and Innovation Center” [Sovremennaya rossiyskaya nauka glazami molodyh issledovateley. Sb. tr. III megdunar. nauch.-prakt. konf. molodyh uchenyh i specialistov, Krasnoyarsk, 28 fevr. 2013. Krasnoyarsk : OOO “Nauchno-innovacionnyi centr”], 2013. 321 p. (in Rus).
12. Smirnov E. N., Lukyanov S. A. Formation and development of the global market of artificial intelligence systems // The economy of the region [Ekonomika regiona]. 2019. Vol. 15. Is. 1. P. 57–69 (in Rus).
13. Timonina I. L. University startups and ventures and the competitiveness of the country: the experience of Japan // Japanese studies [Yaponskie issledovaniya]. 2018. N 4. Р. 92–110 [Electronic source]. URL: https://cyberleninka.ru/article/n/universitetskie-startapy-i-venchuryi-konkurentosposobnost-strany-opyt-yaponii (accessed: 18.11.2022) (in Rus).
14. Tokarev B. E., Tokarev R.B. Analysis of the artificial intelligence market: dynamics of patenting technologies // Practical Marketing [Prakticheskiy marketing]. 2020. N 1 (275). Р. 38–44 [Electronic source]. URL: https://cyberleninka.ru/article/n/analiz-rynka-iskusstvennogo-intellekta-dinamika-patentovaniya-tehnologiy (accessed: 20.11.2022) (in Rus).
15. Alizada A. V., Muradli V. A. Information and artificial intelligence // Bulatov readings [Bulatovskie chteniya]. 2020. P. 37–38 (in Rus).
16. Information Economy Report: Digitalization, Trade and Development 2017. New York, Geneva : UN, UNCTAD, 2017. 112 p.
17. Liu P., Bell R. Exploration of the initiation and process of business model innovation of successful Chinese ICT enterprises // Journal of Entrepreneurship in Emerging Economies. 2019. N 11 (4). P. 515–536.
18. Qiao Z., Li Z. Do foreign institutional investors enhance firm innovation in China? // Applied Economics Letters. 2018. N 26 (13). P. 1125–1128.
19. Reshetnikova M. Innovation and Entrepreneurship in China // European Research Studies Journal. 2018. N XXI (3). P. 506–515.
20. Turing A. M. Computing Machinery and Intelligence. Mind, LIX. 1950. October. N 236. P. 433–460.
Review
For citations:
Dementev K.I. Analysis of the World Experience in the Use of Artificial Intelligence to Optimize Business Processes of Enterprises. Administrative Consulting. 2023;(1):107-120. (In Russ.) https://doi.org/10.22394/1726-1139-2023-1-107-120
Views:
1233
Email this article 