The Power of AI in Banking 4.0: Enhancing Customer Experience and Operational Efficiency

The Banking industry is undergoing a transformative shift with the advent of AI technologies. The emergence of Banking 4.0, driven by artificial intelligence, is revolutionizing customer experience and operational efficiency in the banking sector. AI-powered applications are being deployed across various banking functions, including customer service, risk management, fraud detection, and personalized banking solutions. This paper explores the power of AI in Banking 4.0, focusing on how it enhances customer experience and improves operational efficiency. Here Decision Tree Classifier is applied for fraud transaction classification, enhancing risk management and fraud detection. K-mean clustering is applied on Indian customer behavior dataset on E-commerce dataset to classify them into three groups

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Published
2024-12-23
DOI
https://doi.org/10.1145/3745812.3745899
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
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article

The Power of AI in Banking 4.0: Enhancing Customer Experience and Operational Efficiency

Garima Srivastava, Kishore Bhattacharjee, Sanjit Kumar, L. V. Rajani Kumari
Impact of AI and Big Data on Business and Society
article

The Power of AI in Banking 4.0: Enhancing Customer Experience and Operational Efficiency

Garima Srivastava, Kishore Bhattacharjee, Sanjit Kumar, L. V. Rajani Kumari
article en

Abstract

The Banking industry is undergoing a transformative shift with the advent of AI technologies. The emergence of Banking 4.0, driven by artificial intelligence, is revolutionizing customer experience and operational efficiency in the banking sector. AI-powered applications are being deployed across various banking functions, including customer service, risk management, fraud detection, and personalized banking solutions. This paper explores the power of AI in Banking 4.0, focusing on how it enhances customer experience and improves operational efficiency. Here Decision Tree Classifier is applied for fraud transaction classification, enhancing risk management and fraud detection. K-mean clustering is applied on Indian customer behavior dataset on E-commerce dataset to classify them into three groups

SRM Institute of Science and Technology (IN), University of Lucknow (IN), Amity University (AE)
Openalex Percentile: Top 63%
Impact of AI and Big Data on Business and Society
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The Power of AI in Banking 4.0: Enhancing Customer Experience and Operational Efficiency — Garima Srivastava, Kishore Bhattacharjee, et al. · (2024) | TGRS Research Map | TGRS