They’re Watching You at Work http://www.theatlantic.com/magazine/archive/2013/12/theyre-watching-you-at-work/354681 Will HR analytics be a corporate big brother or personal coach? #Datamining & #Privacy
Divining reality from the hype http://www.economist.com/blogs/babbage/2014/08/difference-engine-2 ’14 @Gartner_inc hypecycle chart for tech trends; #DataScience going up;#BigData, down
Academic Researchers Find Lucrative Work as #BigData Scientists
http://online.wsj.com/articles/academic-researchers-find-lucrative-work-as-big-data-scientists-1407543088 Mentions #genomics & physics as #datascience training
Nice mention of genomics/biostat as a useful training ground for data scientists
#DataScience & Prediction: Nice overview of the field, emphasizing testable models, even when causation isn’t implied
http://cacm.acm.org/magazines/2013/12/169933-data-science-and-prediction/fulltext
.@aaronclauset @chrishwiggins In this post it appears that the Future of Computer Science is to become #datascience http://blogs.siam.org/the-future-of-computer-science
#CEO, COO,CFO,CIO,CTO,CSO, #CDO….Ugh! Ogilvy Chief Data Officer Role May Be Sign of Things to Come
http://adage.com/article/datadriven-marketing/ogilvy-chief-data-officer-role-sign-things/243713 MT @KirkDBorne
http://adage.com/article/datadriven-marketing/ogilvy-chief-data-officer-role-sign-things/243713/
MT @KromerBigData: #DataScience in @nytimes http://bit.ly/13mPhxS McKinsey says ~60% more in field needed for ~500K new jobs in 5yrs
QT:”As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.”
QT:”Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.”