In the modern information era, managers must recognize the competitive opportunities represented by decision-support tools. Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address the fundamental questions: What is likely to happen in the future? And what is the best decision right now?
"Adaptive Business Intelligence" explains the science and application of numerous prediction and optimization techniques as well as how these concepts can be used to develop adaptive decision-making systems. The book is suitable for business and IT managers who make decisions in complex industrial and service environments, non-specialists who want to understand the science behind better predictions and decisions, and students and researchers who need a quick introduction to this field.
As most business managers now realize, there is a world of difference between having good knowledge and detailed reports, and making smart decisions. The authors of "Adaptive Business Intelligence" are convinced that the future of the business intelligence industry lies in systems that can make decisions, rather than tools that produce detailed reports.
The authors Zbigniew Michalewicz, Martin Schmidt, Matthew Michalewicz and Constantin Chiriac have decades of academic research backgrounds in artificial intelligence and related fields, combined with years of practical consulting experience in businesses and industries worldwide.
Zbigniew Michalewicz, Martin Schmidt, Matthew Michalewicz, Constantin Chiriac
Adaptive Business Intelligence
Springer 2007. 246 pp.
Hardcover EUR 39.95; US$ 49.95, £30.50
ISBN 978-3-540-32928-2