The role and application of artificial intelligence in finance, banking and other areas of the economy
Keywords:
artificial intelligence, digital economy, information technology, promising technologiesAbstract
The article analyzes the directions of development of artificial intelligence technologies and mechanisms in finance, banking and other areas of the economy. The strategic tasks set in this direction in Uzbekistan were evaluated.
References
Decree of the President of the Republic of Uzbekistan dated March 2, 2020 No. PF-5953 “On the state program for the implementation of the strategy of action in five priority areas of development of the Republic of Uzbekistan in 2017-2021 was declared the “Year of the Development of Science, Education and Digital Economy”
Resolution of the President of the Republic of Uzbekistan dated December 13, 2018 No. PF-5598 “On additional measures for the introduction of the digital economy, e-government and information systems in public administration of the Republic of Uzbekistan”
Resolution of the President of the Republic of Uzbekistan dated May 7, 2020 No. PQ-4708 “On measures to improve the quality of education and develop scientific research in the field of mathematics”
Resolution of the President of the Republic of Uzbekistan dated April 28, 2020 No. PQ-4699 “On measures for the widespread introduction of the digital economy and e-government”
Decree of the President of the Republic of Uzbekistan dated October 29, 2020 No. PF-6097 “On approval of the concept of science development until 2030.”
Bostrom N. Artificial intelligence. Stage. Threat. Strategy. M.: Mann, Ivanov and Ferber, 2016. 496 p.
Luger D.F. Artificial intelligence. Strategies and techniques for solving a complex problem. M.: Williams, 2005. 864 p.
Ross A. Industries of the future. M.: AST, 2017. 288 p.
Siegel E. Calculate the future. Whoever clicks, buys, lies or dies. M.: Alpina Publishing House, 2018. 374 p.
Schwab K.M. The fourth industrial revolution. M.: Eksmo, 2017. 288 p.
Denning P.J., Lewis T.G. Exponential laws of computational growth. Communications of AKM, 2017, issue. 60, no. 1, pp. 54–65.
Nikolenko S., Kadurin A., Arkhangelskaya E.V. Deep learning. Dive into the world of neural networks. St. Petersburg: Peter, 2018. 480 p.
Tsvetkova L.A. Artificial intelligence technologies as a factor in the digitalization of the Russian and world economies // Economics of Science. 2017. No. 2. pp. 126–144. Scientific electronic journal “Economics and innovative technologies” http://iqtisodiyot.tsue.uz/journal 304
Uskova T.V., Selimenkov R.Yu., Chekavinsky A.N. Agro-industrial complex of the region: state, trends, prospects. Vologda: ISERT RAS, 2013. 136 p.
Kurzweil R., Grossman T. Surpass. Nine Steps to Eternal Life. M.: Mann, Ivanovi Ferber, 2017. 384 p.
Fadeeva O. Shanghai syndrome of planet Earth: when there are too many of us, what will come of it // NakedScience. 2019. No. 41. URL: https://nakedscience.ru/article/nakedscience/shanhaysky-sindrom-planety.
Forsyth D.A., Pons J. Computer vision. Modern approach. M.: Williams, 2004. 928 pp.
Shanygin S.V. Robots as a means of agricultural mechanization // Izv. higher.fly. misled. Mechanical engineering. 2013. No. 3. pp. 39–42.
Truflyak E.V. Intelligent technical means in agriculture. Krasnodar: KubGAU, 2016. 42 p.
Petrishin L.P. Improving the information environment for the development of agricultural enterprises // Naukovyvisnik of the Lviv National University of Veterinary Medicine and Biotechnology named after S.Z. Grzycki. 2017.T. 19. No. 81. pp. 37–44.
Runov B.A., Novikov N.N. Analysis of the use of robotics in social economics // Vestn. VNIIMZH. 2017. No. 2 (26). pp. 113–117.
Gulomov S.S., Ayupov R.Kh., Abdullaev O.M., Boltaboeva G.R. Blockchain technologies in the digital economy//Tashkent, 2019.
Komilov M.M., Khudoiberdiev M.Kh. Construction of corrective procedures based on idempatent connections on the recognition operator. 2021. mirzaakbarhh@g.mail.com.
Abdugafarov A. Uzbekistan on the path of digitalization: beginning and current situation. 2021. abdugaffarov_abduhalil.ru.
Mukhamedieva D.T. Statistical modeling in agriculture using fuzzy set theory. -Tashkent: Institute of Cybernetics STC “Modern Information Technologies”. 2004. -200 p.
Mukhamedieva D.T. Models for forecasting and alternativeization of weakly formed processes based on fuzzy information processing. “Science and Technology” - Tashkent, 2012, 376 pp.
Mukhamedieva D.T. Methods and algorithms for solving imprecise problems of constructing fuzzy models of weakly formed processes. Publishing house "Navruz". Tashkent, 2018. 216 pages.
Begalov B.A., Zhukovskaya I.E. Information and communication technologies and effective organization of statistical data and conditions for the formation of an innovative economy. Publishing house "Science", 2013.
Resolution PQ-4996 of February 17, 2021 “On measures to create conditions for the rapid implementation of artificial intelligence technologies”
“The World Bank and the Ministry of Economic Development and Poverty Reduction of the Republic of Uzbekistan. 2022. Towards a greener economy in Uzbekistan. ©World Bank."
Teshabaev T., Gulyamov S.S. Khaitmatov Yu.T., Ayupov R.Kh. Fundamentals of digital economics and programming: An annotated dictionary. Tashkent. 2021 Davr Matbuot Savdo LLC, 15.5 p.p.
