Generative AI in FinTech: Revolutionizing Finance Through Intelligent Algorithms (eBook)

Artikelnummer: 978-3-031-76957-3
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
CHF 212.50
decrease increase

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.


accessibilitysupport@springernature.com

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.


accessibilitysupport@springernature.com
Schreiben Sie Ihre eigene Bewertung
  • Nur registrierte Benutzer können Produkte bewerten
*
*
Schlecht
Sehr gut
*
*
*
*
VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2025
Seitenangabe359 S.
AusgabekennzeichenEnglisch
AbbildungenVI, 359 p. 48 illus., 44 illus. in color.
Masse10'105 KB
PlattformPDF
ReiheInformation Systems Engineering and Management; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics
AutorDutta, Soumi (Hrsg.) / Rocha, Álvaro (Hrsg.) / Agarwal, Ambuj Kumar (Hrsg.) / Tiwari, Raj Gaurang (Hrsg.) / Bhattacharya, Abhishek (Hrsg.)

Alle Bände der Reihe "Information Systems Engineering and Management; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0)"

Über den Autor Soumi (Hrsg.) Dutta

Dr. Soumi Dutta is Associate Professor at Sister Nivedita University (SNU) at New Town, Kolkata, 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 more than 40 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. She has 25 book and book chapters in Taylor & Francis Group and IGI Global. She is Peer Reviewer and TPC Member in different international journals. She is Active Member of several technical functional bodies such as ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, and IAENG. She has published 8 patents and 1 copyright. Dr. Abhishek Bhattacharya is Associate Professor at Sister Nivedita University, India. He has completed his Ph.D. (CSE), 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 55 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. He has 3 book chapters in Taylor & Francis Group EAI. He is Peer Reviewer and TPC Member in different international journals. He was Editor in IEMIS 2020, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023, and special issues in IJWLTT. He is Member of several technical functional bodies such as IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, and IAENG. He has published 3 patents and 15 books. Dr. Sanku Bose is currently Group Chief Executive Officer of Techno India Group. Past, Dr. Bose served as President and Global CEO of JK Technosoft (JKT), a holding company of the 140+ year old prestigious US$5Bn+ JK Group, led by the Singhanias. Dr. Bose is Accomplished, Visionary, Resourceful, and Goal-Oriented Professional with over twenty-eight years of management and technology consulting experience with Big 4 consulting firms and leading organizations globally. Dr. Bose has strong transformational leadership ability, with proven expertise in leading business transformation programs for Fortune 500 clients and building and directing highly effective teams. Dr. Bose is Unique Strategist, with a career track record of transforming organizations and supporting critical business operations within diverse industries. Dr. Bose has global background, with demonstrated success in delivering multi-million dollar global business transformation programs across 40+ countries. Dr. Zdzislaw Polkowski is Professor of UJW at Faculty of Technical Sciences and Rector's Representative for International Cooperation and Erasmus+ Program at the Jan Wyzykowski University Polkowice. Since 2019 he is also Adjunct Professor in Department of Business Intelligence in Management, Wroclaw University of Economics and Business, Poland. Since 2021 Zdzislaw Polkowski collaborates with The Karkonosze State University of Applied Sciences in Jelenia Góra, Poland. Moreover, he is Visiting Professor in University of Pitesti, Romania, WSG University Bydgoszcz, Poland, and Adjunct Professor in Marwadi University, India. He is Former Dean of the Technical Sciences Faculty during the period 2009-2012 at UZZM in Lubin.

Weitere Titel von Soumi (Hrsg.) Dutta

Produktbewertungen
Nur registrierte Benutzer können Produkte bewerten