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Red Lambda CTO Rob Bird to Participate in Big Data Panel Discussion

The interactive panel will focus on the challenges, value, impact and relevance of Big Data on today’s consumers and businesses.

 
PRLog - Oct. 2, 2012 - ORLANDO, Fla. -- Orlando, FL – Red Lambda, Inc., a global provider of grid-based, predictive security analytics solutions for big data, today announced that its Founder and CTO will be a guest panelist at “The Promise of Big Data” event hosted by Nielsen Corporation and the University of Florida on October 5, 2012, from 10 am – 11:30 am at Reitz Union Auditorium.

Through a partnership between the UF Engineering Innovation Institute, Nielsen, Red Lambda and the UF Colleges of Business Administration and Journalism and Communications, the interactive panel will focus on the challenges, value, impact and relevance of Big Data on today’s consumers and businesses.

The panel will be moderated by Mitchell Habib  (www.mitchell-habib.com), Chief Operating Officer of Nielsen, and will also include Karen Fichuk, Global Managing Director of Kraft Account, Nielsen, as well as Dr. Andréa Matsunaga, University of Florida College of Engineering research scientist at UF’s Advanced Computing and Information Systems Laboratory.

“Since the roots of Red Lambda’s Big Data analytics technology were originally launched out of the University of Florida, I am proud to represent the company in this exciting discussion with such prominent industry leaders and research professionals.  I am looking forward to sharing our viewpoints and exchanging ideas on what the explosion of Big Data means to the future,” said Red Lambda Founder and Chief Technology Officer Rob Bird.  

“As part of Nielsen’s ongoing commitment to the University of Florida, we’re delighted to co-host this panel of thought leaders to address one of the biggest opportunities facing our industry today – ‘Big Data,’ said Nielsen’s Mitchell Habib. “We anticipate a lively discussion and encourage students of all disciplines to get engaged in this pivotal dialogue that will shape the future for businesses, markets and clients globally.”

About Nielsen
Nielsen Holdings N.V. (NYSE: NLSN) is a global information and measurement company with leading market positions in marketing and consumer information, television and other media measurement, online intelligence, mobile measurement, trade shows and related properties. Nielsen has a presence in approximately 100 countries, with headquarters in New York, USA and Diemen, the Netherlands. For more information, visit www.nielsen.com.

About Red Lambda™
Red Lambda enables businesses and government agencies to effectively secure their data through advanced, Big Data analytics technologies that break through the barriers and limitations of existing legacy systems and appliance-based offerings.  Red Lambda’s seamlessly integrated suite of solutions, powered by its massively scalable distributed grid platform called MetaGrid™,  fuses virtual supercomputing, relational stream processing and artificial intelligence for the first time into one complete system, enabling real time, on-the-fly anomaly detection for known and unknown threats.   The system's predictive capabilities deliver unprecedented visibility and actionable intelligence that makes sense of structured and unstructured data without rules, signatures or manual programming.  By empowering end users, companies can deploy preemptive strategies to confidently defend against cyber attacks, while deriving significant business value from their operational data.  

Based in Orlando, Florida, Red Lambda, Inc. maintains operations in the U.S. and London, distributing its solutions directly and through strategic partnerships worldwide. For more information, visit www.redlambda.com.

Red Lambda, the Red Lambda logo, the Lambda logo, MetaGrid, Neural Foam, and all other Red Lambda marks contained herein are trademarks of Red Lambda, Inc.

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Source:Red Lambda
City/Town:Orlando - Florida - United States
Industry:Software, Security
Tags:big data, security, analytics, Software, grid
Shortcut:prlog.org/11989083
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