2013 Big Data Symposium

Using Big Data for Predictive Analytics

Thank you to all who made this event a huge success!

The top-five ranked MIS department at the University of Arizona and the INSITE Center for Business Intelligence and Analytics held a one day symposium addressing the use of big data for predictive analysis.

The goal of the symposium was to help educate audiences on the various applications of predictive analytics from big data in various industries, and to discuss open challenges and issues that need further work.

Date: Thursday October 10, 2013

Location: UA Student Union - South Ballroom, 1303 E. University Blvd., Tucson, AZ 85719

Time: 8:00 am - 5:00 pm

Big Data Speakers

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Computing Tools

The New Factors of Production & Rise of Big Data

Brian Gentile, Chairman & CEO, Jaspersoft

Visit Brian
View Brian's presentation here

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Retail

Unlocking Business Value with Big Data and Predictive Analytics

Tim Hood,
Global V.P., Strategic Technologies, Chief Solution Architect, Retail Industry,
SAP AG

Visit Tim
View Tim's presentation here

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Cybersecurity

Big Data Security Gaps

David Cowart, Director Strategic Solutions, Mandiant

Visit David

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Research

Building a Smarter Campus

Dr. Sudha Ram, Professor of MIS, Director, INSITE Center for Business Intelligence and Analytics

Visit Sudha
View Sudha's presentation here

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Healthcare

Smart Data is the Key to Scaleable Healthcare Solutions

 

Michele Polz, Head of Patient Insights, Sanofi 

Mikki Nasch, Co-Founder, AchieveMint

Visit Michele and Mikki

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Sports

Data Mining and Analytics in the NBA

Zaheer Benjamin, VP of Business and Basketball Analytics, Phoenix Suns

Visit Zaheer

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Technology and Services

Big Data: Applications, Analytics and Aspirations

Brenda Dietrich, IBM Fellow and V.P. Strategy & CTO for Business Analytics

Visit Brenda

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Retail

Driving Your Business Through Big Data

Darren Stoll
GVP, Interactive Marketing - Operations and Analytics, macys.com

Kerem Tomak
Vice President, Marketing Analytics, macys.com

Visit Darren and Kerem.

 

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