AI Technologies for Digital Banking, Commerce, and Financial Services

749.00

AUTHOR Dr. Yogita Rokde, Saurabh Rokde
ISBN 978-93-6422-067-5
Language English
Pages 217
Publication Year 2026
Binding Paperback
Publisher Addition Publisher
Category:

AI Technologies for Digital Banking, Commerce, and Financial Services provides a comprehensive and application-oriented exploration of artificial intelligence technologies transforming modern banking, commerce, and financial services. The book begins with the foundations of AI, machine learning, data analytics, and intelligent decision-making, establishing the technological background required to understand AI-enabled financial systems.
The text examines the application of supervised and unsupervised learning, deep learning, natural language processing, computer vision, generative AI, and intelligent automation to financial and commercial problems. It explores how these technologies can process large and complex datasets to identify patterns, automate processes, generate predictions, and support decision-making.
A major focus is placed on digital banking applications, including AI-powered customer service, conversational banking, personalized financial recommendations, credit scoring, loan underwriting, fraud detection, anti-money-laundering analysis, risk assessment, financial forecasting, and cybersecurity. The book also examines AI applications in digital commerce, including customer segmentation, recommendation systems, demand forecasting, dynamic pricing, sentiment analysis, intelligent search, and personalized marketing. Financial market applications are explored through algorithmic trading, portfolio analytics, market prediction, robo-advisory systems, and automated investment decision-support. The book further considers AI applications in insurance, wealth management, payments, digital lending, and financial inclusion.
Particular attention is given to the development and management of AI systems in regulated financial environments. Topics such as explainable AI, model validation, algorithmic fairness, data governance, privacy, cybersecurity, regulatory technology, responsible AI, and human oversight are examined to address the risks associated with automated financial decision-making.
The book also introduces emerging developments such as generative AI in financial services, AI agents, real-time financial analytics, multimodal systems, and intelligent digital financial ecosystems.

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