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Beschreibung

Generative AI (GenAI) is revolutionizing the financial services sector (FSS), offering new ways to enhance efficiency, improve customer experiences, and streamline operations. This book is your comprehensive guide to understanding and implementing GenAI within FSS.

Grounded in real-world use cases, this book moves from fundamentals to boardroom-ready execution. You’ll start with the core concepts behind AI, machine learning, and GenAI, then pivot into the challenges of FSS: intense regulatory scrutiny, evolving fraud threats, operational complexity, and rising expectations for personalized, always-on service. You’ll learn a practical blueprint for GenAI adoption, including strategy, governance, risk controls, data readiness, and culture—through the lens of executives tasked with delivering measurable value responsibly.

From there, you’ll get hands-on experience building GenAI systems: prompt design, evaluation, Retrieval-Augmented Generation (RAG), fine-tuning, and agentic workflows. You’ll see how these capabilities power mission-critical functions across the enterprise: Finally, you’ll operationalize all of it with modern

Generative AI (GenAI) is revolutionizing the financial services sector (FSS), offering new ways to enhance efficiency, improve customer experiences, and streamline operations. This book is your comprehensive guide to understanding and implementing GenAI within FSS.

Grounded in real-world use cases, this book moves from fundamentals to boardroom-ready execution. You’ll start with the core concepts behind AI, machine learning, and GenAI, then pivot into the challenges of FSS: intense regulatory scrutiny, evolving fraud threats, operational complexity, and rising expectations for personalized, always-on service. You’ll learn a practical blueprint for GenAI adoption, including strategy, governance, risk controls, data readiness, and culture—through the lens of executives tasked with delivering measurable value responsibly.

From there, you’ll get hands-on experience building GenAI systems: prompt design, evaluation, Retrieval-Augmented Generation (RAG), fine-tuning, and agentic workflows. You’ll see how these capabilities power mission-critical functions across the enterprise: Finally, you’ll operationalize all of it with modern

Über den Autor
Srinath Godavarthi has over 20 years of experience in the IT industry serving both public sector and commercial customers. He held leadership positions with global technology and consulting companies including Amazon and Accenture. In his previous roles, Srinath led digital transformation for a number of customers across multiple industry verticals including Financial Services, Healthcare and Telecommunications. Srinath is an accomplished author, specializes in GenAI, AI/ML technologies and published over a dozen white papers and blogs. He has been a speaker at various industry conferences including Generative AI summits, AWS Public sector summit, AWS re:Invent, American public Human Services association among others. He holds a Master’s degree in Computer Science from Temple University and a Chief Technology Officer program from the University of California, Berkeley. Srinath is deeply passionate about causes that impact Veterans and kids. In his spare time, he volunteers to help Veterans and enables the next generation by teaching AI/ML technologies to high school students and assisting them with research projects.

Dr Ravi Nagvekar is a seasoned technology professional with more than 20 years of experience in the IT and finance domains, having worked with some of the world's leading financial institutions, including JP Morgan Chase, ABN Amro, ICICI Bank, HDFC Bank, and Bank of Baroda. His extensive expertise spans across multiple areas, such as generative AI, machine learning, data engineering, and cloud solutions. Currently, Ravi is part of Amazon Web Services (AWS), where he supports some of the largest financial clients in the Americas, focusing on generative AI and machine learning implementations. Prior to his role at AWS, he led the Analytics and Machine Learning Platform Engineering team at JP Morgan Chase, dri
Inhaltsverzeichnis

Chapter 1: Introduction to Generative AI.- Chapter 2: GenAI and the Financial Services Sector.- Chapter 3: GenAI Strategy: A Blueprint for Successful Adoption.- Chapter 4: Architecting and Building a GenAI Application.- Chapter 5: Risk and Compliance Managment with GenAI.- Chapter 6: Retail Banking with GenAI.- Chapter 7: Investment Banking with GenAI.- Chapter 8: Wealth and Asset Management wth GenAI.- Chapter 9: Implementation, Operations, and Maintenance of GenAI Applications.- Chapter 10: Summary, Emerging Trends, Summary, and Next Steps.

Details
Erscheinungsjahr: 2026
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xxv
325 S.
1 s/w Illustr.
38 farbige Illustr.
325 p. 39 illus.
38 illus. in color.
ISBN-13: 9798868820526
Sprache: Englisch
Herstellernummer: 89536819
Einband: Kartoniert / Broschiert
Autor: Godavarthi, Srinath
Nagvekar, Ravi
Auflage: First Edition
Hersteller: Apress
Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com
Maße: 254 x 178 x 20 mm
Von/Mit: Srinath Godavarthi (u. a.)
Erscheinungsdatum: 03.01.2026
Gewicht: 0,663 kg
Artikel-ID: 134426320