Managing Knowledge with Artificial Intelligence: An Introduction with Guidelines for Nonspecialists

Managing Knowledge with Artificial Intelligence: An Introduction with Guidelines for Nonspecialists

by Kevin C. Desouza
Managing Knowledge with Artificial Intelligence: An Introduction with Guidelines for Nonspecialists

Managing Knowledge with Artificial Intelligence: An Introduction with Guidelines for Nonspecialists

by Kevin C. Desouza

Hardcover

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Overview

In clear, readable language, consultant and researcher Kevin Desouza accomplishes an unlikely feat: explaining artificial intelligence to nonspecialists, in a way that experts will recognize and accept as correct and immediately applicable. Workers in knowledge management are relatively isolated from each other, businesspeople are still unconvinced that artificial intelligence has much to offer, and engineers creating the latest algorithm or device seldom consider its value for businesspeople—Desouza seeks to change all that.

He maintains that knowledge will be traded like physical goods, and that businesses must leverage knowledge resources within its organizations to survive in a highly competitive marketplace. Introducing us the concepts and significance of knowledge management, he shows that incorporating artificial intelligence computer-based techniques into business settings can provide truly significant gains in productivity. This book is among the first of its kind to provide a comprehensive one-stop guide to the basics of knowledge management, plus a lucid explanation of A.I., and how to use it in almost all types of organizational settings.


Product Details

ISBN-13: 9781567204919
Publisher: Bloomsbury Academic
Publication date: 07/30/2002
Pages: 272
Product dimensions: 6.14(w) x 9.21(h) x 0.62(d)
Lexile: 1250L (what's this?)

About the Author

KEVIN C. DESOUZA is Research Associate with the Center for Research in Information Management, University of Illinois, Chicago. He lectures widely on topics in e-commerce, data warehousing, data management, and computer-based training, and has served in various managerial and technical capacities with organizations worldwide.

Table of Contents

Preface
Foundations
Introduction
Intangible 1: Knowledge
Intangible 2: Intelligence
Backbone: Data Warehouses and OLAP
Non-Learning Intelligent Techniques
The World of Rules: Expert Systems
Cocaine of Science: Fuzzy Logic
Re-Use Past Experiences: Case-Based Reasoning
Machine Learning Techniques
Survival of the Fittest: Genetic Algorithms
Modeling the Human Brain: Artificial Neural Networks
Small Yet Powerful: Intelligent Agents
Future
Two Minds Are Better than One: Hybrid Systems
Outlook
Appendix A: Suggested Readings
Appendix B: AI Vendors
References
Index

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