Transforming Financial Services with Generative AI : From Strategy and Design to Practical Applications (First Edition. 2025. vii, 175 S. VII, 175 p. 41 illus., 40 illus. in c)

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Transforming Financial Services with Generative AI : From Strategy and Design to Practical Applications (First Edition. 2025. vii, 175 S. VII, 175 p. 41 illus., 40 illus. in c)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 175 p.
  • 言語 ENG
  • 商品コード 9798868820526

Description


(Text)

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

(Table of content)

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.

(Author portrait)

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 tohelp 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 su

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