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Artificial Intelligence in Finance: From Theory to Practice

Artificial Intelligence in Finance: From Theory to Practice

Paperback

Business GeneralInvesting & FinanceGeneral Computers

PREORDER - Expected ship date April 28, 2027

ISBN10: 3032417473
ISBN13: 9783032417473
Publisher: Palgrave MacMillan
Published: Apr 28 2027
Language: English

This textbook examines how artificial intelligence, machine learning, generative AI, and data-driven decision systems are reshaping financial services. Moving from core AI concepts to applied financial use cases, it covers credit risk assessment, fraud detection, Monte Carlo methods, stock and cryptocurrency valuation, knowledge graphs, AI-enabled IoT, large language models, Retrieval-Augmented Generation (RAG), AI agents, and no-code AI platforms. It also looks at infrastructure choices for enterprise AI, including cloud and on-premise deployment, before turning to sustainable finance, greenwashing detection, and AI governance in regulated environments. Throughout, the book emphasizes decision quality, transparency, accountability, model risk management, and practical implementation. It will be of interest to upper-level undergraduate and postgraduate students in finance, banking, FinTech, risk management, and business analytics, as well as practitioners seeking a structured introduction to AI applications and governance in finance.

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Investing & Finance