The AI Revolution

Author:

Kumar Rajesh1,Sharma Vishal1ORCID

Affiliation:

1. Himachal Pradesh University, Shimla, India

Abstract

The financial services industry is undergoing a considerable transition due to the fast-paced development of artificial intelligence (AI) and allied technologies. This chapter explores the influence of AI on financial services, including its origins, fundamental ideas, and diverse applications. Credit scoring, fraud detection, customer service, investment strategies, financial education, customized banking, portfolio management, marketing strategies, and regulatory compliance are just a few areas where AI have been deployed. There are various concerns regarding the use of AI in financial services, such as issues with data security and privacy, the need for localization to serve a variety of customer bases, operationalization difficulties, the necessity for trust and transparency, the dearth of necessary skills, and the complexity of AI-driven decisions. This chapter highlights the crucial part AI will play in deciding the direction of financial services in the future and the need of preserving ethical standards to make sure AI continues to be a driver for progress in the sector.

Publisher

IGI Global

Reference66 articles.

1. Abraham, F., Schmukler, S. L., & Tessada, J. (2019). Robo-Advisors: Investing through Machines. World Bank Research and Policy Briefs. https://ideas.repec.org/p/wbk/wbkrpb/134881.html

2. Marketing and Financial Services in the Age of Artificial Intelligence

3. Appen. (2021, January28). The four Key Challenges of AI in Financial Services. Appen. https://appen.com/blog/key-challenges-of-ai-in-financial-services/

4. Fortune Business Insights. (2023). Artificial Intelligence [AI] Market Size, Share & Forecast, 2030. Fortune Business Insights. https://www.fortunebusinessinsights.com/industry-reports/artificial-intelligence-market-100114

5. Artificial Intelligence in Asset Management

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

1. Rise of Artificial Intelligence in Marketing;Advances in Marketing, Customer Relationship Management, and E-Services;2024-06-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3