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Dr. Andreas Weigend is an expert in merging data analysis and complex algorithms with software technologies. As independent consultant, he works with data-intensive organizations creating products and strategy based on metrics and behavioral analytics. His career as scientist and innovator in quantitative methods gives him a unique ability to bridge the gap between academia and business. Until 2004, he was the Chief Scientist of Amazon.com, where he developed predictive models of customer behavior and applied them to marketing. As author, he published six books and more than one hundred scientific papers in the areas of time series prediction, computational finance, and machine learning. He is a sought-after speaker at international conferences. Keynotes in 2005 included: The Attention Economy, and People and Data: Understanding Customer Behavior. As educator, he teaches the graduate course Data Mining and Electronic Business at Stanford University, as well as the executive course Technology, Information and Innovation around the world. As consultant, his clients span the spectrum from start-ups to Goldman Sachs, UBS, Siemens, Swiss International Air Lines, and Yahoo. He received his Ph.D. from Stanford University in physics in 1991, and was a researcher at Xerox PARC (Palo Alto Research Center). | 