Generative AI in fintech: revolutionizing finance through intelligent algorithms

Contributor(s):

Material type: Text

TextSeries: Information Systems Engineering and Management (ISEM, volume 26)Publication details: Cham Springer 2025Description: vi, 359 pISBN:

9783031769566

Subject(s):

DDC classification:

006.31 DUT

Summary: 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. (https://link.springer.com/book/10.1007/978-3-031-76957-3)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	006.31 DUT (Browse shelf(Opens below))	1	Available		009180

Table of contents:Front Matter
Pages i-vi
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Implementation of Artificial Intelligence and Chatbot for the Enhancement of New Age Banking Systems: A Systematic Review
Poornima Kapadan Othayoth, Shivi Khanna
Pages 1-19
A Generative AI Based Work Assignment System
Debartha Chakraborty, Swapnadeep Pradhan, Sneha Raj, Kunal Kundu, Anupam Ghosh
Pages 21-43
NexaMedic: Revolutionizing Medication Access and Healthcare Management Through Intelligent Assistance
Sayak Bhattacharjee, Swapnanil Maity, Sanjoy Saha, Anupam Ghosh
Pages 45-60
Responsible AI in Fintech: Addressing Challenges and Strategic Solutions
Mohd Saleem, Chanchal Chawla, Ambuj Kumar Agarwal, Danish Ather
Pages 61-72
The Transformative Impact of AI Technologies on Decision-Making Processes and Operational Efficiency Across Sectors, with a Focus on Finance
Naman Chauhan, Gesu Thakur, Ankush Joshi, Vikash Kumar, Anuj Kumar, Yashvir Singh
Pages 73-113
Information Utilized in the Multimodal Method for Assessing Financial Risk and Fraud Detection in the Context of Digital Currency
Monu Bhardwaj, Namrata Prakash, Rupa Khanna Malhotra
Pages 115-136
Generative AI in FinTech: Revolutionizing Fraud Detection, Personalized Advising, and Predictive Analytics
Madhusudan Narayan, Pooja Shukla, M. Dileep Kumar, Nishant Mani
Pages 137-154
Advancing Financial Forecasting with Hierarchical Gaussian Mixtures: The Adaptive Generative Meta-model for Financial Environments (AGM-FE)
Ridwan Kolapo, A. Prema Kirubakaran, J. J. Jayakanth, Soumi Dutta
Pages 155-172
Next-Generation Credit Scoring: Enhancing Model Performance Through Synthetic Data Generation with Generative Adversarial Networks
Anshumita Singh, Shruti Sinha, Swati Chauhan
Pages 173-196
The Mediating Influence of Journalistic Narratives on the Adoption of Generative AI in Financial Services
Vishal Jain, Archan Mitra
Pages 197-220
Balancing Innovation and Responsibility: Tackling Challenges in Generative AI for FinTech
Manpreet Kaur, Kiran Jindal, Arshdeep
Pages 221-234
Adapting Generative Models with Meta Learning for Financial Applications
J. Jeyalakshmi, Ch. Gowtham
Pages 235-255
Precedence of Generative AI in Fintech: A Road to Redefine the Sector’s Future
Manali Agrawal, Mohammad Irfan
Pages 257-270
Securing the Future: Addressing Risks and Vulnerabilities in Generative AI for Fintech
Divya Bansal, Neha Tandon
Pages 271-290
The Role of Artificial Intelligence in a New Paradigm: Redefining the Banking Landscape
Shamli Sharma, Kamal Preet, Neema Gupta
Pages 291-308
Empowering Financial Access: A Generative AI Perspective
Neha Tandon, Divya Bansal
Pages 309-323
Challenges for Responsible Implementation of Generative AI in Fintech
Shilpi Vaish, Mansi Singh, Ashish Kumar Jha
Pages 325-344
Guardians of Accountability: The Role of Media in Oversight and Governance of Generative AI Applications in Fintech
Priyanka Kumari, Shishir Kr. Singh, Vinit Kumar Jha Utpal
Pages 345-359

[https://link.springer.com/book/10.1007/978-3-031-76957-3]

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.

(https://link.springer.com/book/10.1007/978-3-031-76957-3)

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