stbusСтратегии бизнесаBusiness Strategies2311-7184Real Economy Publishing House10.17747/2311-7184-2018-12-26-28stbus-498Research ArticleСтатьиПРОБЛЕМЫ БАНКОВCКОГО СЕКТОРА ПРИ ПЕРЕХОДЕ К ЦИФРОВОМУ БАНКИНГУPROBLEMS OF THE BANKING SECTOR IN THE TRANSITION TO DIGITAL BANKINGКудишА. С.KudichsA. S.

магистрант, ФГОБУ ВПО «Финансовый университет при Правительстве РФ». Научный руководитель: Борисова О. В. Кандидат экон. наук, доцент Департамента «Корпоративные финансоы и корпоративное управление ФГОБУ ВПО «Финансовый университет при Правительстве РФ»

Financial University under the Government of the Russian Federation. Scientific director: Borisova O. V. Candidate of Economics, Associate Professor, Financial University under the Government of the Russian Federation

ФГОБУ ВПО «Финансовый университет при Правительстве РФ»РоссияFinancial University under the Government of the Russian FederationRussian Federation2018291220180122628Copyright © Кудиш А.С., 20182018Кудиш А.С.Kudichs A.S.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.strategybusiness.ru/jour/article/view/498

В статье исследуется основные проблемы банковского сектора, связанные с развитием современных технологий и цифрового банкинга. В результате выявляются основные направления, развитие которых существенно повлияет на стратегические перспективы развития бизнеса в этом сегменте и позволит найти свою нишу в условиях жесткой конкуренции.

The article examines the main problems of the banking sector related to the development of modern technologies and digital banking. As a result, the main areas are identified, the development of which will significantly affect the strategic prospects for business development in this segment and will allow you to find your niche in a highly competitive environment.

Big DataSmart DataAI в цифровом банкингеразвитие банковсовременные технологииBig DataSmart DataAI in digital bankingdevelopment of banksmodern technologyReferencesFang H. Managing data lakes in big data era: What’s a data lake and why has it became popular in data management ecosystem //Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on. – IEEE, 2015. С. 820 – 824.Fang H. Managing data lakes in big data era: What’s a data lake and why has it became popular in data management ecosystem //Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on. – IEEE, 2015. С. 820 – 824.O’Leary D. E. Embedding AI and crowdsourcing in the big data lake //IEEE Intelligent Systems. – 2014. Т. 29. №. 5. С. 70 – 73.O’Leary D. E. Embedding AI and crowdsourcing in the big data lake //IEEE Intelligent Systems. – 2014. Т. 29. №. 5. С. 70 – 73.Hai R., Geisler S., Quix C. Constance: An intelligent data lake system //Proceedings of the 2016 International Conference on Management of Data. – ACM, 2016. С. 2097 – 2100.Hai R., Geisler S., Quix C. Constance: An intelligent data lake system //Proceedings of the 2016 International Conference on Management of Data. – ACM, 2016. С. 2097 – 2100.Stein B., Morrison A. The enterprise data lake: Better integration and deeper analytics //PwC Technology Forecast: Rethinking integration. – 2014. Т. 1. С. 1 – 9.Stein B., Morrison A. The enterprise data lake: Better integration and deeper analytics //PwC Technology Forecast: Rethinking integration. – 2014. Т. 1. С. 1 – 9.Kalinin S. V., Sumpter B. G., Archibald R. K. Big – deep – smart data in imaging for guiding materials design //Nature materials. – 2015. Т. 14. №. 10. С. 973.Kalinin S. V., Sumpter B. G., Archibald R. K. Big – deep – smart data in imaging for guiding materials design //Nature materials. – 2015. Т. 14. №. 10. С. 973.O’Brien J. A. et al. Management information systems. – McGraw-Hill Irwin, 2006. Т. 6.O’Brien J. A. et al. Management information systems. – McGraw-Hill Irwin, 2006. Т. 6.

The authors declare that there are no conflicts of interest present.