Opportunities of artificial intelligence and big data in banking

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Abstract

the use of artificial intelligence and big data analytics tools has become a determining factor in the transformation of the banking industry, accelerating its digitalization and increasing the technological maturity of processes. These innovative technologies provide new ways to improve the optimization of customer interactions, productive risk management and the formation of a flexible model of operational efficiency. In addition, they allow for more effective risk management, automation of routine operations and the creation of flexible models of operational efficiency. The integration of artificial intelligence and big data analysis allows not only to reduce costs and improve the quality of services, but also to move to decision-making based on analytically confirmed information, rather than intuition, which significantly increases the competitiveness of banks in the domestic and international markets. This strengthens their resilience to rapid changes in the financial environment and requires continuous improvement of the technological infrastructure. This article examines in detail the trends in the implementation of artificial intelligence and big data in the banking sector, analyzes the opportunities that these technologies open for improving efficiency, innovative development and improving the level of customer service, and discusses the challenges and prospects for their further use.

About the authors

Yu. D Atanelov

Moscow Financial and Industrial University Synergy

V. R Yakubov

Financial University under the Government of the Russian Federation

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