Description
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. Youll 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. Youll learn a practical blueprint for GenAI adoption, including strategy, governance, risk controls, data readiness, and culturethrough the lens of executives tasked with delivering measurable value responsibly.
From there, youll get hands-on experience building GenAI systems: prompt design, evaluation, Retrieval-Augmented Generation (RAG), fine-tuning, and agentic workflows. Youll see how these capabilities power mission-critical functions across the enterprise: Finally, youll operationalize all of it with modern FMOps/LLMOps practicessecurity, privacy, performance, cost management, monitoring, and continuous improvementso pilots become production systems that scale. The closing chapter distills emerging trends, from autonomous agents to domain-specialized models, and lays out next steps so your organization can adopt GenAI with confidence, compliance, and a clear return on investment.
Whether youre a CIO crafting a roadmap, a product leader shipping AI features, a data scientist building RAG pipelines, or a risk and compliance executive seeking control and clarity, this book is your end-to-end guide to deploying GenAI that is safe, explainable, and enterprise-grade.
What You Will Learn
Develop a strategic blueprint for GenAI adoption, including implementation methodologies, risk mitigation, and best practices for financial institutions
Master the core components of building GenAI applications, from prompt engineering and model evaluation to RAG and Agentic AI
Discover how GenAI transforms risk and compliance management, including applications in Anti-Money Laundering (AML), trade surveillance, and regulatory reporting
Explore practical GenAI use cases across retail banking, investment banking, and wealth management, and learn about successful operational deployment
Who This Book Is For
Data scientists, AI professionals, and financial services experts interested in leveraging generative AI within the financial sector.
Author: Srinath Godavarthi,Ravi Nagvekar
Binding Type: Paperback
Publisher: Apress
Published: 01/03/2026
Pages: 325
Weight: 1.35lbs
Size: 10.00h x 7.00w x 0.73d
ISBN: 9798868820526
Language: English
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