Indexing Metadata

1 Title of the Article Artificial Intelligence in Banking and Finance
2 Author's name Ashima Narang: Assistant Professor, Department of Computer Science & Engineering, Amity University, Gurugram, Haryana, India
3 Author's name Priyanka Vashisht, Shalini Bhaskar Bajaj
4 Subject Computer Science and Engineering
5 Keyword(s) Artificial Intelligence, Banking, Finance, Fraud Detection, Credit Scoring, Investment Management
6 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.

7 Publisher Innovative Research Publication
8 Journal Name; vol., no. International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-12 Issue-2
9 Publication Date March 2024
10 Type Peer-reviewed Article
11 Format PDF
12 Uniform Resource Identifier https://ijircst.org/view_abstract.php?title=Artificial-Intelligence-in-Banking-and-Finance&year=2024&vol=12&primary=QVJULTEyNTA=
13 Digital Object Identifier(DOI) 10.55524/ijircst.2024.12.2.23   https://doi.org/10.55524/ijircst.2024.12.2.23
14 Language English
15 Page No 130-134

Indexed by

Crossref logo