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The San Diego Software Industry Council (SDSIC) is hosting a Forum on Analytics on Wednesday, November 12 from 7 a.m. to 4 p.m. at the Del Mar Marriott. Leaders in analytics will explore trends and innovations that influence consumer decision-making and increase business performance across various industries. As usual, they’ve lined up some impressive people at companies which are local to San Diego but are also on the front lines of these issues as keynote speakers:

• Daniel Yankelovich, commonly referred to as the founding father of public opinion research and a leading interpreter of trends shaping American society and the global economy. Yankelovich has been named by PR Week as one of the 10 most influential people in the past century in public affairs, communications and public relations. He has spent more than 40 years monitoring social change and public opinion in America and is author of 11 books. Yankelovich will address the November 4 general election in his keynote entitled “After the Election: Analyzing the Disconnects.
• Robert Hecht-Nielsen, a leading authority in the field of analytics, is co-founder of HNC Software (acquired by Fair-Isaac), and recently founded Hecht-Nielsen Confabulation. He is a member of the Board of Governors for the International Neural Network Society and the UCSD Institute for Neural Computation, an adjunct professor in the UCSD Department of Electrical and Computer Engineering, and an IEEE fellow, having been awarded the IEEE Neural Networks Pioneer medal.
• Hamid Ahmadi, corporate vice president, senior fellow and chief architect of Motorola Technology Organization. Hamid has over 25 years of research, development and management experience in the area of telecommunication, IP networking, wireless communications and network security. He was named as Motorola’s first chief architect in 2006 and served as vice president of technology and CTO in the Global Communications Sector at IBM Corporation. Hamid is an IEEE fellow and received his B.S., M.S., and Ph.D. degrees in electrical engineering from Columbia University.

You may remember the discussion about whether data or algorithms are more valuable back in early January.  This is still an open issue for me and I’ll be curious to hear if anyone at the conference can shed any light on it!See you there… 

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