Affiliation:
1. Shoolini University, India
2. Shoolini Institute of Life Sciences and Business Management, India
Abstract
AI is a revolutionary force that could disrupt several sectors. This chapter addresses key questions about AI's impact on banking. It examines natural language processing, machine learning, and predictive analytics in finance. The study aims to elucidate how AI can enhance the banking experience for customers by exploring its role in personalized services, customer support, and fraud prevention. Further, it offers a comprehensive analysis of the pros and cons of utilizing AI in banking operations, illuminating the potential ethical and societal difficulties that may arise as a result. The research examines how AI can improve banking efficiency, transforming the business. The study's main objective is to inform industry stakeholders, policymakers, and researchers on the pros and downsides of AI adoption in this vital sector by addressing the significant AI in banking issues. This study sets the stage for a comprehensive exploration of AI's transformative potential in the banking landscape.
Reference122 articles.
1. Anantharaman, A. (2019). How artificial intelligence is enabling financial inclusion in India. Retrieved from: https://yourstory.com/2019/05/artificial-intelligence-enabling-financial-inclusion
2. Economists (and Economics) in Tech Companies
3. Machine learning from dialogue corpora to generate chatbots.;E.Atwell;Expert Update Journal,2003
4. Aziz, S., & Dowling, M. (2019). Machine learning and AI for risk management. Disrupting finance: FinTech and strategy in the 21st century, 33-50.
5. Ethical guidelines for solving ethical issues and developing AI systems. Product-Focused Software Process Improvement: 21st International Conference, PROFES 2020, Turin, Italy, November 25–27, 2020;N.Balasubramaniam;Proceedings,2020
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献