Generative AI in FinTech: Revolutionizing Finance Through Intelligent Algorithms (Information Systems Engineering and Management, 26) - Hardcover

Hardcover

ISBN 10: 3031769562 ISBN 13: 9783031769566

Publisher: Springer, 2025

Synopsis

This book delves into the intersection of generative artificial intelligence (AI) and the financial Technology (FinTech) industry. This book provides a comprehensive exploration of how Generative AI, a cutting-edge subset of artificial intelligence, is fundamentally altering the landscape of finance. It meticulously unravels the intricate ways in which advanced algorithms, powered by generative AI, are transforming traditional financial processes, decision-making, risk assessment, portfolio management, fraud detection, and more. Through a detailed analysis of theoretical concepts and practical applications, we illustrate how generative AI techniques, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), are empowering FinTech applications to generate synthetic financial data, optimize trading strategies, and enhance customer experiences. Readers will gain a deep understanding of the potential of generative AI to create realistic financial scenarios, model market behaviour, and simulate various economic conditions for better planning and strategizing.

Moreover, this book offers insights into ethical considerations and potential challenges associated with the use of generative AI in the FinTech domain, emphasizing the importance of responsible and accountable deployment. Additionally, Generative AI in FinTech serves as a practical guide for professionals, researchers, and enthusiasts seeking to implement generative AI solutions within the financial sector. It presents case studies and real-world examples that demonstrate the effectiveness and impact of generative AI in various FinTech applications.

About this title

About the Author

Soumi Dutta is Associate Professor at Sister Nivedita University, India. She has completed her Ph.D(CST), IIEST, Shibpur. She received her B.Tech (IT) and M.Tech(CSE) securing 1st position (Gold medallist), from MAKAUT. She is certified as Publons Academy Peer Reviewer, 2020 and Certified Microsoft Innovative Educator, 2020. Her research interests are Data Mining, Information Retrieval, Online Social Media Analysis and Image Processing. She has published 80 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis etc. She has 22 Books in Palgrave Macmillan, Springer, IET and IGI Global. She is a peer reviewer and TPC member in different international journals. She was the editor in CIPR 2020, CIPR2019, IEMIS 2020, CIIR 2021, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023, ICDMIS 2024, ICIDA 2024 and special issues in IJWLTT. She is the member of several technical functional bodies such as CSI, ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. She has published 9 patents and 1 Copyright. She has one Authored book in Elsevier. Dr. Soumi Dutta has delivered 39 Keynote talks in Different International Conferences. She has been awarded with Rashtriya Shiksha Ratna Award, InSc Research Education Excellence Award, International Teacher Award 2020-21 by Ministry of MSME, Government of India.

Álvaro Rocha was listed in 2023 as World’s 1% Top Scientists by Stanford University and Elsevier, World’s Top 0.05% Scientist by ScholarGPS, and World’s Top 1% Scientist by ResearchGate for the fields of Information Science and Information Systems. He is Professor at ISEG, University of Lisbon, Invited Professor at University of Calabria, Honorary Professor at Amity University, President of ITMA - Information and Technology Management Association, Vice-Chair of IEEE SMC Portugal Chapter, and Book Series Scientific Manager at Springer-Nature. He holds the title of Honorary Professor, and holds a D.Sc. in Information Science, Ph.D. in Information Systems and Technologies, M.Sc. in Information Management, and BCs in Computer Science. He is researcher at the ADVANCE (the ISEG Centre for Advanced Research in Management), and a collaborator researcher at CINTESIS (Center for Research in Health Technologies and Information Systems). His main research interests are maturity models, information systems quality, online service quality, requirements engineering, intelligent information systems, e-Government, e-Health, and information technology in education. He is also Founder and Editor-in-Chief of both following Scopus and/or WoS journals: JISEM (Journal of Information Systems Engineering & Management) and RISTI (Revista Ibérica de Sistemas e Tecnologias de Informação / Iberian Journal of Information Systems and Technologies). Moreover, he has served as Vice-Chair of Experts for the European Commission’s Horizon 2020 Program, and as an Expert at the COST - intergovernmental framework for European Cooperation in Science and Technology, at the European Commission’s Horizon Europe Program, at the Government of Italy’s Ministry of Universities and Research, at the Government of Latvia’s Ministry of Finance, at the Government of Mexico's National Council of Science and Technology, at the Government of Polish's National Science Centre, at the Government of Cyprus's Research and Innovation Foundation, and at the Government of Slovak's Research Agency.

Ambuj Kumar Agarwal received Ph.D. (Computer Science) in 2013. He has completed his M. Tech from MDU, Rohtak and he has done his M.Phil (CS) from Algappa University and MCA from UPTU, Lucknow. Currently, I am working as a Professor in the Department of Computer Science and Engineering, Sharda University, Greater Noida.. He has more than 18 years of extensive experience in the IT industry and Academics in India. His research areas are Software Engineering, Software Testing, Operating System, Cloud, Machine Learning, and Deep Learning. He has guided 2 Ph.D. research scholars and guided 4 Ph.D. Students in Computer Science & Engineering. He has organized more than 20 conferences/seminars and workshops. He has Chaired more than 10 Conference special sessions. He is serving in an advisory capacity in International Conferences as a Technical Programme committee /Organizing committee. He has published more than 50 papers in SCI / Scopus Journals and National and International conferences. He has also published 6 Indian patents (both utility and design) and 2 Australian patents are granted.

Raj Gaurang Tiwari received Ph.D. (Computer Science) in 2013. He has completed his M. Tech from UPTU, Lucknow. Currently, I am working as a Professor in the Department of Computer Science and Engineering, Chitkara University, Rajpura. He has more than 20 years of extensive experience in the IT industry and Academics in India. His research areas are Artificial Intelligence, Cloud, Machine Learning, and Deep Learning. He has Chaired more than 10 Conference special sessions. He is serving in an advisory capacity in International Conferences as a Technical Programme committee / Organizing committee. He has published more the 30 papers in SCI / Scopus Journals and National and International conferences. He has also published 6 Indian patents (both utility and design) and 2 Australian patents are granted.

Abhishek Bhattacharya is Associate Professor at Sister Nivedita University, India. He has completed his PhD (CSE) from BIT, Mesra. He is certified as Publons Academy Peer Reviewer, 2020. His research interests are data mining, cyber security, and mobile computing. He has published 45 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis etc. He has 3 book chapters in Taylor & Francis Group EAI. He has 14 edited books in Springer. He is peer reviewer and TPC member in different international journals. He was the editor in IEMIS 2020, IEMIS 2018, IEMIS 2022, CIIR 2023, ICIDA 2022, ICIDA 2023, ICIDA 2024, ICDMIS 2024 and special issues in IJWLTT. He is the member of several technical functional bodies such as IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IAENG. He has published 6 patents.

From the Back Cover

This book delves into the intersection of generative artificial intelligence (AI) and the financial Technology (FinTech) industry. This book provides a comprehensive exploration of how Generative AI, a cutting-edge subset of artificial intelligence, is fundamentally altering the landscape of finance. It meticulously unravels the intricate ways in which advanced algorithms, powered by generative AI, are transforming traditional financial processes, decision-making, risk assessment, portfolio management, fraud detection, and more. Through a detailed analysis of theoretical concepts and practical applications, we illustrate how generative AI techniques, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), are empowering FinTech applications to generate synthetic financial data, optimize trading strategies, and enhance customer experiences. Readers will gain a deep understanding of the potential of generative AI to create realistic financial scenarios, model market behaviour, and simulate various economic conditions for better planning and strategizing.

Moreover, this book offers insights into ethical considerations and potential challenges associated with the use of generative AI in the FinTech domain, emphasizing the importance of responsible and accountable deployment. Additionally, Generative AI in FinTech serves as a practical guide for professionals, researchers, and enthusiasts seeking to implement generative AI solutions within the financial sector. It presents case studies and real-world examples that demonstrate the effectiveness and impact of generative AI in various FinTech applications.

Edition details

• Publisher: Springer
• Publication date: 2025
• Language: English
• ISBN 10: 3031769562
• ISBN 13: 9783031769566
• Binding: Hardcover
• Number of pages: 365
• Editor: Dutta Soumi, Rocha Álvaro, Agarwal Ambuj Kumar, Tiwari Raj Gaurang, Bhattacharya Abhishek