الصفحة 1
الصفحة 1
Handbook of consumer finance research
Debt consolidation…pension givebacks…Social Security under siege…bankruptcies and foreclosures…Americans’ financial lives are fraught with issues, challenges, and potential threats, in record numbers. The Handbook of Consumer Finance Research surveys the social aspects of consumer behavior, offering latest data and original research on current consumer needs as well as identifying emerging areas of research. This accessible volume (which can be read without advanced training in the field) starts with current concepts of risk tolerance, consumer socialization, and financial well-being, and moves on to salient data on specific settings and populations
Enabling Semantic Web Services : The Web Service Modeling Ontology
Service-oriented computing has become one of the predominant factors in current IT research and development. Web services seem to be the middleware solution of the future for highly interoperable distributed software solutions. In parallel, research on the Semantic Web provides the results required to exploit distributed machine-processable data. To combine these two research lines into industrial-strength applications, a number of research projects have been set up by organizations like W3C and the EU. After a brief presentation of the underlying basic technologies and standards of the World Wide Web, the Semantic Web, and Web Services, they detail all the elements of WSMO from basic concepts to possible applications in e-commerce, e-government and e-banking, and they also describe its relation to other approaches like OWL-S or WSDL-S.
AI in banking : Practical applications and case studies
Delves into the application of AI from theory to practice, offering detailed insights into AI project design and code implementation across eleven business scenarios in four major sectors: retail banking, e-banking, bank credit, and tech operations. it provides hands-on examples of various technologies, including automatic machine learning, integrated learning, graph computation, recommendation systems, causal inference, generative adversarial networks, supervised learning, unsupervised learning, computer vision, reinforcement learning, fuzzy control, automatic control, speech recognition, semantic understanding, bayesian networks, edge computing, and more. this book stands as a rare and practical guide to AI projects in the banking industry.
