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Podcast: Revolution Analytics, R and the changing technology landscape

In a recent interview with DataInformed's Ian Murphy, I discussed the history of the open-source R project and how Revolution Analytics is building on R to compete with legacy statistical software such as SAS and SPSS. Other topics we touched on during the 20-minute discussion included: R's growth in academia, the impact of cloud computing on analytics, and how Revolution R Enterprise integrates with other data and presentation technologies. You can listen to the interview at iTunes, or embedded at the end of the Data Informed post below. DataInformed: Revolution Analytics Uses Open Source R To Compete With SAS, SPSS

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More Stories By David Smith

David Smith is Vice President of Marketing and Community at Revolution Analytics. He has a long history with the R and statistics communities. After graduating with a degree in Statistics from the University of Adelaide, South Australia, he spent four years researching statistical methodology at Lancaster University in the United Kingdom, where he also developed a number of packages for the S-PLUS statistical modeling environment. He continued his association with S-PLUS at Insightful (now TIBCO Spotfire) overseeing the product management of S-PLUS and other statistical and data mining products.<

David smith is the co-author (with Bill Venables) of the popular tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Today, he leads marketing for REvolution R, supports R communities worldwide, and is responsible for the Revolutions blog. Prior to joining Revolution Analytics, he served as vice president of product management at Zynchros, Inc. Follow him on twitter at @RevoDavid

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