Category Archives: Big Data Futures

God, Big Data Religion, and Studying Culture

Reviewing  Uncharted: Big Data as a Lens on Human Culture, Nick Romeo writes in The Daily Beast: “The authors were instrumental in creating the Google Ngram viewer, which allows researchers or anyone else so inclined to explore the changing frequencies … Continue reading

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Gartner: Hype Cycle for Big Data 2013

  Doug Henschen at InformationWeek: “Cloud computing and in-memory databases, two darlings of the big data movement, have passed the ‘peak of inflated expectations’ and are headed into the ‘trough of disillusionment,’ according to Gartner’s Hype Cycle for Big Data, … Continue reading

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MIT’s Sandy Pentland on the Decade of Big Data (Video)

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Big Data Far From Maturity: Gartner’s New Hype Cycle

    Source: Gartner InformationAge reports: Big data technology will take longer to reach mainstream adoption than previously thought, according to analyst company Gartner’s latest Hype Cycle for emerging technologies… In 2012, Gartner estimated that big data would take between two … Continue reading

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Big Data Panels at the 2013 MIT CIO Symposium (Video)

Moderator: Tom Davenport, Babson College Annabelle Bexiga, TIAA-CREF; Frank Diana, TCS; Jack Norris, MapR; Keith Collins, SAS Institute; Michael Chui, McKinsey Global Institute Davenport: “I’m going to trademark ‘Humongous Data’” Moderator: Prof. Erik Brynjolfsson, MIT Center for Digital Business Prof. Andrew Lo, MIT Sloan School of … Continue reading

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Keeping Up With The Quants May Prevent the Next Big Data Crisis

Keeping Up with the Quants: Your Guide to Understanding and Using Analytics, by Thomas H. Davenport and Jinho Kim, is an accessible and timely introduction to the data mining work of quantitative analysts. Aimed primarily at a business audience, it was … Continue reading

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Chris Anderson on New Areas for Big Data Analytics (Video)

Chris Anderson, CEO of 3D Robotics and former editor in chief of Wired on Quantified Self and the Internet of Things (GE’s “Industrial Internet”) as two new areas for big data analytics. Anderson: “Our ability to collect data is way … Continue reading

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