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BI Vision Houston
PRESENTATION DETAIL
Usama Fayyad
Co-founder, President and CEO, digiMine, Inc.
 Dr. Fayyad heads digiMine, a leading provider of data mining and business intelligence solutions. Prior to digiMine, Dr. Fayyad founded and led Microsoft Research's Data Mining & Exploration (DMX) Group. At Microsoft he also led the development data mining components for several Microsoft products, including SQL Server 2000. From 1989 to 1995, Dr. Fayyad was at the Jet Propulsion Laboratory (JPL), California Institute of Technology, where he founded and grew a multi-million dollar advanced research program to develop data mining systems for the analysis of large scientific databases for NASA . This world-renowned work earned him numerous awards including the most distinguished excellence award from Caltech/JPL and a U.S. Government Medal from NASA. He has published over 100 technical articles about his pioneering work in data mining. He is co-editor of the MIT Press book: Advances In Knowledge Discovery and Data Mining (1996), and is director and editor for the ACM Special Interest Group of Knowledge Discovery and Data Mining (SIGKDD). He is also editor-in-chief of the scientific technical journal: Data Mining and Knowledge Discovery. Recently, Dr. Fayyad was named to MIT's Tech Review Magazine list of top innovators in emerging technologies.
Data Mining: From Raw Data to Real Value
With advent of sophisticated database technology and the Internet, organizations of all types are generating unprecedented volumes of data. This "data deluge" is both an opportunity and a challenge. Data mining - the process of using computer-driven algorithms to discover meaningful structure and patterns in data - is an invaluable means to effectively harness growing data stores and extract real value.
Dr. Fayyad will draw on his experience as a pioneer in the field, providing insights into how all kinds of businesses can apply universal methodologies to successful data mining. He'll describe how the principles and algorithms of data mining are the same across a wide variety of fields and data sets, including manufacturing, NASA astronomy (volcanoes on Venus), remote-sensing, and e-business. Dr. Fayyad will also address the common challenges inherent to building data mining solutions and the right approaches to overcoming those challenges.
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