AUTOMATING DECISION-MAKING PROCESSES IN BANKING FINANCIAL INFORMATION SYSTEMS USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

This paper analyzes the opportunities and advantages of automating decision-making processes in banking financial information systems using Artificial Intelligence and Machine Learning. AI and ML technologies have been successfully applied in banking for risk management, credit scoring, fraud detection, and optimizing investment strategies. By automating decision-making with AI/ML, banks can achieve faster and more reliable results, while reducing operational costs. The paper also explores system architecture, integration, and the impact of these technologies on security concerns.