Role of Artificial Intelligence (Ai) and Machine Learning (Ml) in Financial Decision-Making

Abstract

In the banking business, the use of artificial intelligence (AI) algorithms to detect fraud, automate trading activities, manage portfolios, and provide customer service has increased significantly in recent years. Artificial intelligence (AI) uses statistical modeling to create predictions. Managing relationships and providing investors with financial advisory services. The inherent capacity of AI to quickly analyze several data sets and create different business scenarios to aid in decision-making can enhance an organization’s financial performance without explicitly programming for predicted results. This study examines how well AI is implemented in the Indian financial sector, as well as how much progress has been made in this area Integration has produced. The study addresses some of the contemporary AI technologies used in the Indian financial sector and attempts to investigate the comfort level and expectations of these workers with regard to AI use. Additionally, it attempts to statistically examine the degree of integration and potential relationship between AI systems and the features and efficacy that they have brought to financial decision making across all industries and participants in the Indian financial sector, as well as across all job levels within various financial organizations.