Synopses & Reviews
Written in straightforward language that even nontechnical managers can easily understand, The Artificial Intelligence Handbook delivers an inside look at AI software and its myriad applications in contemporary business. A comprehensive resource, the book clearly defines and explains AI, as well as offers practical insight on how to employ AI to make better - and faster - business decisions. With its practical applications and step-by-step instructions, this valuable ?how-to? guide will be referenced again and again.
The purpose of this book is to help business professionals understand artificial intelligence software and how to make practical use of it. The authors provide a complete overview of expert systems and neural networks. Applications in a variety of discipline are included such as: banking, insurance, investments, accounting, law, marketing, and manufacturing.
About the Author
Joel G. Siegel, Ph.D., CPA is a self-employed certified public accountant and professor of accounting and finance at Queens College of the City University of New York. He was employed previously by Coopers and Lybrand CPAs, and Arthur Andersen CPAs. Siegel has been a consultant in accounting and finance to many organizations including Citicorp, ITT, United Technologies, and the American Institute of CPAs. Dr. Siegel has written 65 books and more than 200 articles on accounting and financial topics. Dr. Jae K. Shim is Professor of Finance and Accounting at California State University, Long Beach, and President of Delta Consulting Company, a financial consulting and training firm. Shim received is M.B.A. and Ph.D. from the University of California at Berkeley. He has been a consultant to commercial and nonprofit organizations for over 30 years. Dr. Shim has published numerous articles and over 50 college and professional books to his credit. Jae resides in Los Alamitos, CA.
Table of Contents
What This Book Will Do For You. 1. Introduction. 2. Artificial Intelligence and Expert Systems. 3. Neural Networks. 4. Artificial Intelligence in Business Finance. 5. Artificial Intelligence in Accounting. 6. Legal Applications. 7. Artificial Intelligence in Marketing. 8. Expert Systems and Neural Networks in Manufacturing. Appendix I. Artificial Intelligence Software. Glossary. Index.