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Datacenter Automation

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Datacenter Automation Authors: Pat Romanski, Automic Blog, Elizabeth White, Liz McMillan, Glenn Rossman

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Why automation won't replace data scientists

Will we always need data scientists, or will the Data Science role be replaced by easy-to-use automated applications? Mikio L. Braun argues — compellingly — that data analysis is hard, and that the fact that it's easy to shoot yourself in the foot with automated tools — and convince yourself that the results are meaningful when they're not — means that human data scientists aren't going anywhere soon. (Via Mike Loukides.)

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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