Summaries and Customer Reviews are supplied by Amazon.com

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 includes elements of data mining, predictive modeling, forecasting, optimization, and adaptability.

The authors have considerable academic research backgrounds in artificial intelligence and related fields, combined with years of practical consulting experience in businesses and industries worldwide. In this book they explain the science and application of numerous prediction and optimization techniques, as well as how these concepts can be used to develop adaptive systems. The techniques covered include linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy systems, genetic algorithms, simulated annealing, tabu search, ant systems, and agent-based modeling.

This book is suitable for business and IT managers who make decisions in complex industrial and service environments, nonspecialists who want to understand the science behind better predictions and decisions, and students and researchers who need a quick introduction to this field.

Average Customer Rating:

Great book for busy managers and students

Customer Rating:

This is a great book about a new topic called "Adaptive Business Intelligence". It is basically about modern Artificial Intelligence (AI) that is used to solve tough real-life optimization and prediction problems. The authors really know what they are talking about and have many years of business and teaching experience. They are also running a software company specializing in Adaptive Business Intelligence. I was skeptical when I picked up this book and thought to myself that they can't possibly explain all those modern AI techniques without formulas. However, the book is very easy to read and really does cover modern AI techniques without getting into a lot of nitty gritty details (i.e., no formulas). They also have a detailed real-life example that they frequently refer to. The example is very good and I quickly saw how I could use Adaptive Business Intelligence. The authors explain everything down to earth and on top of that it was fun to read and also reads well. I also liked that they have some references to other books in case you want to dive into a particular topic. All in all it's a great book that makes modern science easy to understand for busy people. Even non-technical managers like myself will have no problems understanding the different techniques and how they apply to their own business. I highly recommend this book. It's definitely worth reading! PS: I borrowed the book to my sister who studies IT in California and she told me that it's a great introduction to modern AI. She actually never returned the book since she kept as a reference for one of her classes.