Applications of strategic financial analysis using artificial intelligence tools in commercial enterprises

Abstract

This research aims to study the impact of artificial intelligence tools in improving strategic financial analysis applications in commercial banks, with a focus on Rafidain Bank - Ramadi Branch. This research contributes to enriching scientific knowledge by highlighting the vital role of artificial intelligence tools, such as machine learning, deep learning, natural language processing, and software robots, in enhancing the efficiency and accuracy of financial analysis. The research is based on an integrated theoretical framework that explains the concepts of artificial intelligence in the financial sector, in addition to an applied framework based on a field questionnaire that included 38 completed questionnaires, which were analyzed after excluding 7 incomplete questionnaires. To ensure the reliability of the results, the research tool was subjected to scientific arbitration by specialized experts. The results showed that adopting artificial intelligence tools contributes significantly to improving the speed and accuracy of financial data analysis, reducing human errors, and enhancing the quality of investment decisions. Accordingly, the study recommends the need to enhance the culture of continuous innovation in commercial banks and allocate research and development teams to explore and apply the latest technologies. It also recommends enhancing the use of natural language processing to improve the interaction of automated systems with customers, which raises the level of customer satisfaction and enhances their loyalty to the bank.