AI Based Banking Data Analysis with a Design Thinking Approach

Banks serve as intermediary organizations for investors and lenders. After receiving deposits from both normal persons and companies, they lend the funds to borrowers, individuals, companies, and governments. This intermediation process ensures that savings are channeled efficiently into productive investments, contributing to our country economic growth. According to developments in general information analysis and technology, the banking sector has increasing an enormous transformation in recent years. Machine learning technologies have emerged as powerful tools for predictive analytics and get the perfect decision-making in this field. This study displays the use of machine learning technologies for performing predictive analytics in bank sector, focusing on various use cases. The main objective of this research is to demonstrate the potential of machine learning to improve decision-making processes in different banking sectors.