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Transforming Financial Services with Generative AI
English | 2026 | ISBN: B0FN74FCNK | 329 pages | PDF | 15.19 MB
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 b
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