The integration of Artificial Intelligence (AI) in the financial sector has ushered in disruptive technologies and unlocked a plethora of emerging opportunities. This paper provides an in-depth exploration of the transformative role of AI in finance, delineating its impact on various facets including investment strategies, risk assessment, fraud detection, customer service, and regulatory compliance. Leveraging machine learning algorithms, natural language processing, and predictive analytics, AI empowers financial institutions to process vast datasets, derive actionable insights, and automate decision-making processes with unprecedented precision and efficiency. Furthermore, AI-driven innovations facilitate personalized financial services, streamline operations, and catalyze the development of novel business models, thereby reshaping the competitive landscape of the finance industry. Nevertheless, the adoption of AI in finance necessitates careful consideration of ethical, privacy, and regulatory implications to ensure responsible and sustainable deployment. Through comprehensive analysis and case studies, this paper illuminates the disruptive potential and emerging opportunities afforded by AI in finance, paving the way for informed decision-making and strategic investment in this rapidly evolving domain.
CITATION STYLE
Khan, A. K. M. K. (2024). AI in Finance Disruptive Technologies and Emerging Opportunities. Journal of Artificial Intelligence General Science (JAIGS) ISSN:3006-4023, 3(1), 155–170. https://doi.org/10.60087/jaigs.v3i1.76
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