國立高雄大學圖資館 |

Language: English

Back

Generative AI in FinTechrevolutionizing finance through intelligent algorithms /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Generative AI in FinTechedited by Soumi Dutta ... [et al.].
Reminder of title:	revolutionizing finance through intelligent algorithms /
other author:	Dutta, Soumi.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	vi, 359 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	FinanceTechnological innovations.
Online resource:	https://doi.org/10.1007/978-3-031-76957-3
ISBN:	9783031769573$q(electronic bk.)

Generative AI in FinTechrevolutionizing finance through intelligent algorithms /
Generative AI in FinTechrevolutionizing finance through intelligent algorithms /[electronic resource] :edited by Soumi Dutta ... [et al.]. - Cham :Springer Nature Switzerland :2025. - vi, 359 p. :ill. (chiefly color), digital ;24 cm. - Information systems engineering and management,v. 263004-9598 ;. - Information systems engineering and management ;2..

IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE AND CHATBOT FOR THE ENHANCEMENT OF NEW AGE BANKING SYSTEMS: A SYSTEMATIC REVIEW -- A Generative AI based Work Assignment System -- NexaMedic: Revolutionizing Medication Access and Healthcare Management through Intelligent Assistance -- Responsible AI in Fintech: Addressing Challenges and Strategic Solutions -- The Transformative Impact of AI Technologies on Decision-Making Processes and Operational Efficiency Across Sectors, with a Focus on Finance -- Information Utilized in the Multimodal Method for Assessing Financial Risk and Fraud Detection in the Context of Digital Currency -- Generative AI in FinTech: Revolutionizing Fraud Detection, Personalized Advising, and Predictive Analytics -- ADVANCING FINANCIAL FORECASTING WITH HIERARCHICAL GAUSSIAN MIXTURES: THE ADAPTIVE GENERATIVE META-MODEL FOR FINANCIAL ENVIRONMENTS (AGM-FE) -- Next-Generation Credit Scoring: Enhancing Model Performance through Synthetic Data Generation with Generative Adversarial Networks -- The Mediating Influence of Journalistic Narratives on the Adoption of Generative AI in Financial Services -- Balancing Innovation and Responsibility: Tackling Challenges in Generative AI for FinTech -- Adapting Generative Models with Meta Learning for Financial Applications -- Precedence of Generative AI in Fintech: A Road to Redefine the Sector's Future -- Securing the Future: Addressing Risks and Vulnerabilities in Generative AI for Fintech -- The Role of Artificial Intelligence in a New Paradigm: Redefining the Banking Landscape -- Empowering Financial Access: A Generative AI Perspective -- Challenges for Responsible Implementation of Generative AI in Fintech -- Guardians of Accountability: The Role of Media in Oversight and Governance of Generative AI Applications in Fintech.

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.

ISBN: 9783031769573$q(electronic bk.)

Standard No.: 10.1007/978-3-031-76957-3doiSubjects--Topical Terms:

775508
Finance
--Technological innovations.

LC Class. No.: HG4515.5

Dewey Class. No.: 332.640285

Generative AI in FinTechrevolutionizing finance through intelligent algorithms /
LDR:04595nmm a2200337 a 4500 001 680327
003 DE-He213
005 20250320115241.0
006 m d
007 cr nn 008maaau
008 251110s2025 sz s 0 eng d
020 $a 9783031769573$q(electronic bk.)
020 $a 9783031769566$q(paper)
024 7 $a 10.1007/978-3-031-76957-3 $2 doi
035 $a 978-3-031-76957-3
040 $a GP $c GP
041 0 $a eng
050 4 $a HG4515.5
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 332.640285 $2 23
090 $a HG4515.5 $b .G326 2025
245 0 0 $a Generative AI in FinTech $h [electronic resource] : $b revolutionizing finance through intelligent algorithms / $c edited by Soumi Dutta ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a vi, 359 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Information systems engineering and management, $x 3004-9598 ; $v v. 26
505 0 $a IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE AND CHATBOT FOR THE ENHANCEMENT OF NEW AGE BANKING SYSTEMS: A SYSTEMATIC REVIEW -- A Generative AI based Work Assignment System -- NexaMedic: Revolutionizing Medication Access and Healthcare Management through Intelligent Assistance -- Responsible AI in Fintech: Addressing Challenges and Strategic Solutions -- The Transformative Impact of AI Technologies on Decision-Making Processes and Operational Efficiency Across Sectors, with a Focus on Finance -- Information Utilized in the Multimodal Method for Assessing Financial Risk and Fraud Detection in the Context of Digital Currency -- Generative AI in FinTech: Revolutionizing Fraud Detection, Personalized Advising, and Predictive Analytics -- ADVANCING FINANCIAL FORECASTING WITH HIERARCHICAL GAUSSIAN MIXTURES: THE ADAPTIVE GENERATIVE META-MODEL FOR FINANCIAL ENVIRONMENTS (AGM-FE) -- Next-Generation Credit Scoring: Enhancing Model Performance through Synthetic Data Generation with Generative Adversarial Networks -- The Mediating Influence of Journalistic Narratives on the Adoption of Generative AI in Financial Services -- Balancing Innovation and Responsibility: Tackling Challenges in Generative AI for FinTech -- Adapting Generative Models with Meta Learning for Financial Applications -- Precedence of Generative AI in Fintech: A Road to Redefine the Sector's Future -- Securing the Future: Addressing Risks and Vulnerabilities in Generative AI for Fintech -- The Role of Artificial Intelligence in a New Paradigm: Redefining the Banking Landscape -- Empowering Financial Access: A Generative AI Perspective -- Challenges for Responsible Implementation of Generative AI in Fintech -- Guardians of Accountability: The Role of Media in Oversight and Governance of Generative AI Applications in Fintech.
520 $a 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.
650 0 $a Finance $x Technological innovations. $3 775508
650 0 $a Artificial intelligence $x Financial applications. $3 890884
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Financial Economics. $3 274377
700 1 $a Dutta, Soumi. $3 939513
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Information systems engineering and management ; $v 2. $3 969440
856 4 0 $u https://doi.org/10.1007/978-3-031-76957-3
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)