Intelligent information systems of the banking sector: General characteristics and information environment

Abstract

Due to the rapid development of digitalization and information technology, the study of intelligent information systems (IIS) in the banking sector is becoming an urgent task. Intelligent information systems are able to optimize banking processes, increase security, improve the quality of customer service, mitigate risks, and optimize internal processes of financial stability management. The purpose of this study is to reveal the potential and impact of IIS on banking management processes; to study their capabilities. To achieve this goal, this study used an analytical approach, in particular, methods of information and morphological data analysis, as well as the method of generalization, which allowed the identification of key aspects, features, and properties of intelligent information systems of the banking sector, and to provide a generalized structure of their functioning by the relevant processes. This article generalizes a group of intelligent information systems of the banking sector (IISBS), their general features and properties, proposes an innovative architecture of financial management support, and identifies their advantages in comparison with existing intelligent systems. The study proves that intelligent information systems of the banking sector are endowed with hybrid data analytics provided by deep learning methods using self-learning algorithms; are able to assess possible risks and plan strategies for their resolution; recognize unauthorized entries and suspicious transactions; thanks to virtual assistants, are suitable for robotizing management processes; and visually present the results of analysing large amounts of data in real time. The research conducted in this paper shows that the introduction of intelligent information systems in the banking sector is of high practical value, as it provides interactivity and personalization for customers, online interaction, and support in solving problems through various communication channels