EAN: 9798868820526

Bilder-Quelle: averdo

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 FMOps LLMOps practices—security privacy performance cost management monitoring and continuous improvement—so 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 you’re 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.

Produktinformationen zuletzt aktualisiert am
07.02.2026 um 08:12 Uhr

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