AI and Fintech: Improving the Financial Landscape

by Jaheer Mukthar K. P. (Editor), Rosario Mercedes Huerta-Soto (Editor), Vishal Jain (Editor), Edwin Hernan Ramirez-Asis (Editor)

Overview

This book explores the transformative intersection of AI and Fintech. It encompasses an in-depth analysis of how AI is reshaping the financial industry, revolutionizing traditional practices, and paving the way for innovative solutions. It provides understanding of the symbiotic relationship between AI and Fintech, offering insights into the current state, future potential, challenges, and ethical considerations within this dynamic landscape. It addresses critical ethical considerations surrounding AI and Fintech, fostering a dialogue on responsible AI integration and data privacy.

Features:

• Explains how AI is being used to automate tasks, improve efficiency, and reduce costs in the financial industry.
• Covers improvement of risk management and fraud detection.
• Includes development of new financial products and services, such as robo-advisors and cryptocurrency trading platforms.
• Explores the potential impact of AI on the financial industry, both positive and negative.
• Discusses the ethical implications of using AI in the financial sector.

This book is aimed at researchers and professionals in computer engineering, AI, and fintech.

Product Details

ISBN-13:	9781040398197
Publisher:	CRC Press
Publication date:	08/15/2025
Series:	Computational Intelligence Techniques
Sold by:	Barnes & Noble
Format:	eBook
Pages:	344

About the Author

Jaheer Mukthar K. P. is a research faculty in the Department of Economics in Kristu Jayanti College Autonomous, Bengaluru, India. With a strong focus on technology, business, and sustainability, his research contributions have made a significant impact in these areas. His research was recognized and awarded at various international conferences, including the 13th Global Islamic Marketing Conference in Turkey and the 2022 International Conference on Business and Technology in Turkey, among others. He was also awarded the best paper awards from renowned conferences, such as the 6th Equal Opportunity Conference in Bahrain. In addition to his publications and conference contributions, he is also an esteemed guest editor, showcasing his expertise in the field. He also serves as an associate editor and is an editorial review board member for 6 Scopus-indexed journals.

Rosario Mercedes Huerta-Soto is an experienced economist and academic with a diverse background in both the public and private sectors. She holds a Bachelor's degree and a Master's in Business Administration from the National University Santiago Antúnez de Mayolo (UNASAM). Dr. Huerta-Soto has held various managerial positions, including roles at Financiera Confianza, Compartamos Financiera, and Agrobanco. She has also been actively involved in academia as a teaching assistant in the Faculty of Economics and Accounting at UNASAM. In addition to her professional pursuits, Dr. Huerta-Soto has contributed to academic research, with several articles published in reputable journals.

Vishal Jain is presently working as an Associate Professor at Department of Computer Science and Engineering, Sharda School of Engineering and Technology, Sharda University, Greater Noida, U. P., India. Before that, he has worked for several years as an Associate Professor at Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 16 years of experience in the academics. He obtained Ph.D (CSE), M.Tech (CSE), MBA (HR), MCA, MCP and CCNA. He has more than 1350 research citation indices with Google Scholar (h-index score 18 and i-10 index 34). He has authored more than 100 research papers in reputed conferences and journals, including Web of Science and Scopus. He has authored and edited more than 45 books with various reputed publishers, including Taylor and Francis Group. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks. He received a Young Active Member Award for the year 2012–13 from the Computer Society of India, Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi.

Edwin Hernan Ramirez-Asis is a senior professor at the Universidad Nacional Santiago Antúnez de Mayolo, Huaraz, Perú. He is currently the director of the School of Administration at the Faculty of Administration and Tourism at the university. He has his Ph.D. in management. He is a research professor recognized by the National Council of Science, Technology and Technological Innovation, Peru. He has 15 years of experience in teaching and research. He has published 10 articles in journals indexed in Scopus and Web of science. His research interests include information society, innovation in microfinance, and digital marketing.

Table of Contents

1. Artificial Intelligence in Payment Systems: Transforming the Mode of Payment 2. Taxonomy of Applications of Artificial Intelligence Techniques for FinTech 3. Modernizing Finance: The Fintech Revolution Powered by AI 4. A Comprehensive Review on Exploring the Impact of Machine Learning and Deep Learning in FinTech 5. Synergy in Finance: Humans and AI Reshaping Fintech 6. Enhancing Financial Document Digitization: Handwritten Text Conversion to Digital Using Convolution Neural Networks 7. Human centric summarization bridging gap between human and machine 8. Unveiling the Dynamics: The Current State of Artificial Intelligence in Finance 9. AI and Fintech: Revolutionizing the Financial Landscape 10. AI-driven Mobile Banking Applications and Financial Literacy programs: Empowering Self Help Group Women 11. Chatbots in Marketing and Financial Sector: Impact on Customer Engagement Valence 12. Assessing the Role of Artificial Intelligence in Regulatory Compliance for Indian Fintech Startups 13. From Brick-and-Mortar to AI-Powered: How Artificial Intelligence is Reshaping Banking, Investments, and Microfinance 14. The Multifaceted Role of Artificial Intelligence (AI) and its Applications in Redefining the Landscape of Financial Services 15. Forecasting Financial Markets through AI: Exploring Machine Learning and Neural Network Models for Stock Price Prediction 16. AI-Powered Finance: Redefining the Financial Landscape