Impact of Artificial Intelligence (AI) Applications in the Financial Sector – A Study

Abstract: Artificial Intelligence (AI) is transforming the financial sector of India by enhancing efficiency, improving customer experiences, and providing advanced analytics. The impact of AI applications on the financial sector of India is profound, as they are reshaping how financial services are delivered, consumed, and managed. The integration of AI technologies has brought about significant transformations in various aspects of banking, lending, investment, and regulatory compliance. The main aim of the present paper is to examine the key areas in which AI applications are impacting the financial sector in India. Artificial Intelligence (AI) applications in the financial sector depends on those who have knowledge about technological growth, especially the Information Technology (IT) that deals with using computers, laptops, smart phones, and other digital stuff to handle and share data. It is important because IT helps in organizing, storing, and analyzing data quickly. IT also helps human beings talk to each other in better ways, think about texting, video calls and interact in social media. Artificial Intelligence has shown significant promise in improving the effectiveness and efficiency of financial services. By leveraging AI technologies, financial institutions can streamline processes, enhance decision-making, and provide better services to their customers. Despite some challenges and risks, the overall impact of AI in finance appears to be positive, with potential for even greater advancements in the future. The study found that most of the respondents have noticed the impact of AI applications in their daily lives especially in the financial services and they have moderate trust in AI decision-making, especially in sectors like banking and healthcare, where it is widely used for tasks like fraud detection and customer service. While there is recognition of the benefits from AI applications in finance, such as faster decision-making and cost reduction, opinions vary on its effectiveness for tasks like data security and job displacement.