Artificial Intelligence in Banking and Finance

Authors

  • Ashima Narang Assistant Professor, Department of Computer Science & Engineering, Amity University, Gurugram, Haryana, India
  • Priyanka Vashisht Associate Professor, Department of Computer Science & Engineering, Amity University, Gurugram, Haryana, India
  • Shalini Bhaskar Bajaj Professor, Department of Computer Science & Engineering, Amity University, Gurugram, Haryana, India

Keywords:

Artificial Intelligence, Banking, Finance, Fraud Detection, Credit Scoring, Investment Management

Abstract

Artificial intelligence (AI) has revolutionized the banking and financial industry by improving client relations, precision, and operational efficiency. This paper explores the use of artificial intelligence (AI) in banking and finance, including topics like credit scoring, fraud detection, investment management, and customer service. This research aims to identify the benefits and difficulties associated with the integration of AI in the financial sector by a comprehensive analysis of the body of existing literature. The results highlight how AI technologies have significantly improved decision-making, reduced operating costs, and increased overall profitability. Nonetheless, in order to guarantee the ethical and sustainable application of AI in the future, it is crucial to address issues with data privacy, prejudice, and ethical reasons.

 

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Published

2024-03-30

How to Cite

[1]
A. Narang, P. Vashisht, and S. B. Bajaj, “Artificial Intelligence in Banking and Finance”, IJIRCST, vol. 12, no. 2, pp. 130–134, Mar. 2024.

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