The Impact of Artificial Intelligence on Financial Decision-Making Processes

This research seeks to delve into the role and theoretical structure of Artificial Intelligence (AI) within the realm of finance. The aim is to use AI as a conduit for spreading knowledge and information among finance enthusiasts, budding professionals, students, and those aspiring to a career in finance. This study revolves around three core objectives: First, to offer a thorough understanding of AI's function in finance; second, to showcase both classical and contemporary perspectives of AI in finance; and third, to survey literature and best practices associated with AI's utilization within the financial sector. These objectives lay the groundwork for a theoretical review of Artificial Intelligence as an emerging trend in finance. The study brings to light traditional and modern viewpoints on AI in finance, with emphasis on financial operations conducted with the aid of machines or Artificial Intelligence, devoid of fraudulent or error-prone practices. Data for this research has been sourced from a range of mediums, including books, academic articles, research papers, reports, websites, newspapers, and personal observations. The study's analysis segment is presented through tables and past figures, providing a lucid and succinct illustration of the findings. Through this research, we aim to deepen our understanding of the pivotal role AI plays in the financial sector and its prospective influence on the future of finance.