AI-Driven Financial Innovation: Trends, Challenges, and Opportunities

Author(s)	Dr. Sushma Karnati
Country	India
Abstract	The integration of Artificial Intelligence (AI) into the financial sector has catalyzed a transformative shift, enhancing operational efficiency, customer service, and risk management across the industry. This paper explores the evolving landscape of AI-driven financial innovation, focusing on contemporary trends, key challenges, and future opportunities. It reviews significant applications of AI, including algorithmic trading, personalized banking, fraud detection, and regulatory compliance. Emphasis is placed on how AI technologies are reshaping decision-making processes and the delivery of financial services. The analysis highlights the importance of addressing ethical concerns, such as data privacy and algorithmic bias, as well as technical hurdles like system integration and model interpretability. Furthermore, it underscores the role of collaboration between FinTech startups and traditional financial institutions in driving innovation. By synthesizing recent academic and industry research, this paper provides a comprehensive outlook on AI’s impact in finance and offers strategic insights for stakeholders aiming to leverage AI responsibly and effectively.
Field	Engineering
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-04-09
DOI	https://doi.org/10.71097/IJSAT.v16.i2.4935
Short DOI	https://doi.org/g9kc6v

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