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Generative AI in banking financial services and insurance = a guide to use cases, approaches, and insights /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Generative AI in banking financial services and insurance/ by Anshul Saxena, Shalaka Verma, Jayant Mahajan.
Reminder of title:	a guide to use cases, approaches, and insights /
Author:	Saxena, Anshul.
other author:	Verma, Shalaka.
Published:	Berkeley, CA :Apress : : 2024.,
Description:	ix, 346 p. :ill., digital ;24 cm.
[NT 15003449]:	Part 1: Introduction to Generative AI -- Chapter 1: Evolution of Generative AI -- Chapter 2: Technologies Behind Generative AI -- Chapter 3: Challenges and Potential Applications of Generative AI in BFSI -- Part 2: Generative AI's Transformative Impact on Financial Verticals -- Chapter 4: Transforming Banking: The Next Frontier -- Chapter 5: Innovations in Investment Banking -- Chapter 6: Transformative Practices in Modern Financial Services -- Chapter 7: The Evolution of Insurance in the Digital Age -- Part 3: The Road Ahead for Generative AI in BFSI -- Chapter 8: Roadmap for AI Implementation in BFSI -- Chapter 9: Challenges in Mainstream Adoption -- Chapter 10: Ethical Dilemmas and Future Potential of Generative AI in the Financial Sphere.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Financial applications. -
Online resource:	https://doi.org/10.1007/979-8-8688-0559-2
ISBN:	9798868805592

Generative AI in banking financial services and insurance = a guide to use cases, approaches, and insights /
Saxena, Anshul.

Generative AI in banking financial services and insurancea guide to use cases, approaches, and insights /[electronic resource] :by Anshul Saxena, Shalaka Verma, Jayant Mahajan. - Berkeley, CA :Apress :2024. - ix, 346 p. :ill., digital ;24 cm.

Part 1: Introduction to Generative AI -- Chapter 1: Evolution of Generative AI -- Chapter 2: Technologies Behind Generative AI -- Chapter 3: Challenges and Potential Applications of Generative AI in BFSI -- Part 2: Generative AI's Transformative Impact on Financial Verticals -- Chapter 4: Transforming Banking: The Next Frontier -- Chapter 5: Innovations in Investment Banking -- Chapter 6: Transformative Practices in Modern Financial Services -- Chapter 7: The Evolution of Insurance in the Digital Age -- Part 3: The Road Ahead for Generative AI in BFSI -- Chapter 8: Roadmap for AI Implementation in BFSI -- Chapter 9: Challenges in Mainstream Adoption -- Chapter 10: Ethical Dilemmas and Future Potential of Generative AI in the Financial Sphere.

This book explores the integration of Generative AI within the Banking, Financial Services, and Insurance (BFSI) sector, elucidating its implications, applications, and the future landscape of BFSI. The first part delves into the origins and evolution of Generative AI, providing insights into its mechanics and applications within the BFSI context. It goes into the core technologies behind Generative AI, emphasizing their significance and practical applications. The second part explores how Generative AI intersects with core banking processes, ranging from transactional activities to customer support, credit assessment, and regulatory compliance. It focuses on the digital transformation driving investment banking into the future. It also discusses AI's role in algorithmic trading, client interactions, and regulatory adaptations. It analyzes AI-driven techniques in portfolio management, customer-centric solutions, and the next-generation approach to financial planning and advisory matters. The third part equips you with a structured roadmap for AI adoption in BFSI, highlighting the steps and the challenges. It outlines clear steps to assist BFSI institutions in incorporating Generative AI into their operations. It also raises awareness about the moral implications associated with AI in the BFSI sector. By the end of this book you will understand Generative AI's present and future role in the BFSI sector. What You Will Learn Know what Generative AI is and its applications in the BFSI sector Understand deep learning and its significance in generative models Analyze the AI-driven techniques in portfolio management and customer-centric solutions Know the future of investment banking and trading with AI Know the challenges of integrating AI into the BFSI sector.

ISBN: 9798868805592

Standard No.: 10.1007/979-8-8688-0559-2doiSubjects--Topical Terms:

3493836
Artificial intelligence
--Financial applications.

LC Class. No.: HG4515.5

Dewey Class. No.: 332.028563

Generative AI in banking financial services and insurance = a guide to use cases, approaches, and insights /
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505 0 $a Part 1: Introduction to Generative AI -- Chapter 1: Evolution of Generative AI -- Chapter 2: Technologies Behind Generative AI -- Chapter 3: Challenges and Potential Applications of Generative AI in BFSI -- Part 2: Generative AI's Transformative Impact on Financial Verticals -- Chapter 4: Transforming Banking: The Next Frontier -- Chapter 5: Innovations in Investment Banking -- Chapter 6: Transformative Practices in Modern Financial Services -- Chapter 7: The Evolution of Insurance in the Digital Age -- Part 3: The Road Ahead for Generative AI in BFSI -- Chapter 8: Roadmap for AI Implementation in BFSI -- Chapter 9: Challenges in Mainstream Adoption -- Chapter 10: Ethical Dilemmas and Future Potential of Generative AI in the Financial Sphere.
520 $a This book explores the integration of Generative AI within the Banking, Financial Services, and Insurance (BFSI) sector, elucidating its implications, applications, and the future landscape of BFSI. The first part delves into the origins and evolution of Generative AI, providing insights into its mechanics and applications within the BFSI context. It goes into the core technologies behind Generative AI, emphasizing their significance and practical applications. The second part explores how Generative AI intersects with core banking processes, ranging from transactional activities to customer support, credit assessment, and regulatory compliance. It focuses on the digital transformation driving investment banking into the future. It also discusses AI's role in algorithmic trading, client interactions, and regulatory adaptations. It analyzes AI-driven techniques in portfolio management, customer-centric solutions, and the next-generation approach to financial planning and advisory matters. The third part equips you with a structured roadmap for AI adoption in BFSI, highlighting the steps and the challenges. It outlines clear steps to assist BFSI institutions in incorporating Generative AI into their operations. It also raises awareness about the moral implications associated with AI in the BFSI sector. By the end of this book you will understand Generative AI's present and future role in the BFSI sector. What You Will Learn Know what Generative AI is and its applications in the BFSI sector Understand deep learning and its significance in generative models Analyze the AI-driven techniques in portfolio management and customer-centric solutions Know the future of investment banking and trading with AI Know the challenges of integrating AI into the BFSI sector.
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