ARTIFICIAL INTELLIGENCE (AI) FOR BUSINESS AND FINANCE

Abstract

The article “AI for Business and Finance” provides a comprehensive analysis of how Artificial Intelligence (AI) is revolutionizing modern business operations and financial systems. It discusses how technologies such as machine learning, natural language processing, and data engineering are reshaping traditional practices by automating workflows, improving analytical accuracy, and enhancing strategic decision-making. Using a qualitative research approach based on secondary data, including industry reports, case studies, and academic studies, the paper compares AI tools with conventional methods in fraud detection, credit evaluation, investment management, customer relationship handling, and risk analysis. The findings highlight that AI significantly improves performance by enabling real-time insights, predictive modeling, cost efficiency, and personalized services, leading to greater productivity and competitiveness. Nonetheless, the study also identifies critical challenges such as ethical concerns, data security, biased algorithms, unclear regulatory frameworks, and the necessity for workforce reskilling. The article concludes that AI is not merely a supportive technology but a transformative catalyst driving innovation, modernization, and sustainable growth in business and finance. It emphasizes that ethical governance, transparency, and inclusive innovation are vital to ensuring that the benefits of AI are realized responsibly across industries.