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Personalized Banking: Leveraging AI and Machine Learning for Customer-Centric Financial Services
Independent Researcher, USA.
Review
International Journal of Science and Research Archive, 2022, 06(02), 166-173
Article DOI: 10.30574/ijsra.2022.6.2.0214
Publication history:
Received on 22 June 2022; revised on 18 August 2022; accepted on 22 August 2022
Abstract:
Financial institutions within the services industry now experience a transformation because of artificial intelligence (AI) and machine learning (ML) which builds modern banking models that serve individual customers more effectively. AI banking solutions examine all customer data to guide financial institutions toward ideal product development and stop fraud activities with effective response guidance. The paper reviews AI and ML applications in personalized banking while discussing their effects on customer connections and predictive financial analysis and enhanced safety protection. Virtual assistants combined with AI-driven customer service agents together with intelligent systems increase business profitability through lower operational expenses and superior efficiency achievement. The banking industry faces difficulties because of implementing AI because it requires dealing with privacy violations and bias problems alongside enforcing regulatory requirements. The deployment of responsible AI in financial services requires prompt action to solve identified challenges because this will ensure transparency and fairness and proper adherence to regulations. The advancement of AI technology will play a definitive part in building the banking future through improved secure personalized financial solutions with exceptional customer experience. Research highlights that adopting AI responsibly remains crucial to develop trust along with an inclusive banking industry which demonstrates sustainability throughout time.
Keywords:
Artificial Intelligence; Machine Learning; Personalized Banking; Financial Services; Predictive Analytics; Fraud Detection; Customer-Centric Banking; AI-driven Automation; Digital Banking; Algorithmic Transparency
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Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
