Chief Technology Officer, Analytics and Performance Management, IBM
As CTO of Analytics and Performance Management at IBM, Don Campbell oversees Cognos Software's technology adoption strategy and its application within the IBM Cognos BI platform today and tomorrow. He leads the charge on leading-edge technologies such as grid computing, search, and wireless information delivery in a performance management context.
Don Campbell has 25 years of high tech experience, 21 of which were with Cognos prior to the company's acquisition by IBM in 2007. He has held various roles from research to software development to management, and has led the creation of several award-winning products. He sits on various industry technology boards and advisory committees.
His message of technology, performance management, and entrepreneurism has taken him around the globe, speaking to over 40,000 people in 16 countries. In 2005, he was awarded with the International Business Award for Best Product Development or Engineering Executive. In addition, he has authored several published articles and a weekly technology column. Mr. Campbell holds a Bachelor of Computer Science degree from Carleton University, in Ottawa, Canada.
In June of 2009, Don was named an IBM Distinguished Engineer and appointed to the IBM Academy of Technology cementing his position among the most accomplished technical minds in the industry.
Title: Chief Technology Officer, Analytics and Performance Management, IBM
Stephen Brobst is the chief technology officer for Teradata Corporation. He is widely regarded as a leading expert in data warehousing and joined the Teradata team in October of 1999. Previously, Stephen successfully launched three start-up companies related to high-end database products and services in the data warehousing and e-business marketplaces: Tanning Technology Corporation (IPO on NASDAQ), NexTek Solutions (acquired by IBM) and Strategic Technologies & Systems (acquired by NCR). Stephen also taught graduate courses at Boston University and the Massachusetts Institute of Technology in both the MBA program at the Sloan School of Management and in the computer science departments of both universities. He received the instructor of the year award for two of his last five years in the MET Computer Science department at Boston University and continues as a frequent guest lecturer at the Massachusetts Institute of Technology and the Kellogg Graduate School of Management.
Stephen performed master's and Ph.D. research at the Massachusetts Institute of Technology, where his dissertation focused on load-balancing and resource allocation for parallel computing architectures. He also holds an MBA with joint course and thesis work at the Harvard Business School and the MIT Sloan School of Management. Stephen completed his undergraduate work in electrical engineering and computer science in just three years at University of California, Berkeley, and was awarded the highest honor given to a graduating senior in the College of Engineering (Bechtel Engineering Award). Stephen is an elected member of the Phi Beta Kappa, Eta Kappa Nu, Tau Beta Pi, Sigma Xi, New York Academy of Sciences, University of California, Berkeley Alumni Scholars Association, and the California Scholarship Federation honor societies. He also serves as an advisor to the National Academy of Sciences in the area of IT workforce development.
Stephen has authored numerous journal and conference papers in the fields of data management and parallel computing environments and is an internationally recognized practitioner in the area of breakthrough systems implementation. He co-authored a book, Building a Data Warehouse for Decision Support, published by Prentice Hall PTR. Stephen is currently working on a second book focused on active data warehousing for the real-time enterprise. He has published dozens of technical articles in Intelligent Enterprise Magazine, The International Journal of High Speed Computing, Communications of the ACM, The Journal of Data Warehousing, Enterprise Systems Journal, DM Review, Database Programming and Design and many others. Stephen has been a member of the faculty of the Data Warehousing Institute since 1996 and teaches courses related to active data warehousing and high-performance data warehouse design.
What is "Business intelligence" for, if not to give a company a competitive edge? What's the state of competitive BI today? Have enterprises been able to fully exploit BI for all its promised potential or has it turned out to be more difficult in execution then expected? Have there been any breakthrough innovations to better identify and develop opportunities for a competitive edge? Besides the tools, what else is needed for BI to become “competitive” BI?
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