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Is Big Data Visualization Possible?

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Visualization Fireside Chat

Join thought leaders in Visualization as they discuss whether Big Data Visualization is possible.

Big Data is meaningless without analytics, making Big Data Analytics THE strategic tool for leveraging all of an organization’s data assets. However, Big Data Analytics is just the tip of the iceberg. Without the right framework, this massive amount of data can be impossible to interpret. Visualization allows us to make sense of this data and identify relationships and patterns much easier seen with graphics.

Some argue that Big Data Visualization is not possible, citing the “needle-in-a-haystack” problem of not being able to detect anomalies in such large data sets. Join us in the Visualization Fireside Chat hosted by Skytree as leading Visualization experts discuss whether Big Data Visualization can be accomplished.


Leland Wilkinson

Leland Wilkinson, PhDVP Data Visualization, Skytree

Leland Wilkinson is the Vice President of Data Visualization at Skytree. He is also adjunct professor of computer science at the University of Illinois at Chicago. Previously, he served as President of SYSTAT Inc., a statistical software company he founded in 1984. Wilkinson is a fellow of the American Statistical Association, an elected member of the International Statistical Institute, and a fellow of the American Association for the Advancement of Science. He was also a member of the Committee on Applied and Theoretical Statistics at the National Academy of Sciences. Wilkinson has served on the NAS Panel on Developing Science, Technology, and Innovation Indicators for the Future.

John Stasko

John Stasko, PhDProfessor, Georgia Institute of Technology

John Stasko is a Professor in the School of Interactive Computing at the Georgia Institute of Technology. He is an internationally recognized and widely published researcher in the area of human-computer interaction, with a specific focus on information visualization and visual analytics. His Information Interfaces Research Group develops ways to help people and organizations explore, analyze, and make sense of data in order to solve problems. Stasko has been Papers Co-Chair for IEEE Information Visualization (InfoVis) Conference, the IEEE Visual Analytics Science and Technology (VAST) Conference, and the ACM Software Visualization (SoftVis) Symposium. He also has served on numerous journal editorial boards including ACM Transactions on Computer-Human Interaction, IEEE Transactions on Visualization and Computer Graphics, and Information Visualization. He was named an ACM Distinguished Scientist in 2011, and he received the IEEE VGTC Visualization Technical Achievement Award in 2012.

Tamara Munzner

Tamara Munzner, PhDProfessor, University of British Columbia

Tamara Munzner is a professor at the University of British Columbia Department of Computer Science, and holds a PhD from Stanford. She has been active in visualization research since 1991 and has published over sixty papers and book chapters. She co-chaired InfoVis in 2003 and 2004, co-chaired EuroVis in 2009 and 2010, and is chair of the VIS Executive Committee. She has worked on visualization projects in a broad range of application domains, including genomics, evolutionary biology, geometric topology, computational linguistics, large-scale system administration, web log analysis, and journalism.


Eric Kavanagh

Eric KavanaghCEO of The Bloor Group

Eric Kavanagh, CEO of The Bloor Group, has more than 20 years of experience as a career journalist with a keen focus on enterprise technologies. He designs and moderates a variety of New Media programs, including The Briefing Room, Information Management’s DM Radio and Espresso Series, as well as GARP’s Leadership and Research Webcasts. His mission is to help people leverage the power of software, methodologies and politics in order to get things done.

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