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Big data needs people, leaders and real-time analytics: A Structure:Data 2013 recap

Big data needs people, leaders and real-time analytics: A Structure:Data 2013 recap | (I+D)+(i+c): Gamification, Game-Based Learning (GBL) | Scoop.it
A few trends emerged in more than 30 talks at this year’s GigaOM Structure:Data conference in New York on March 20-21. The big one: people play a crucial part in the big data equation.

Via Pierre Levy, juandoming
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Pierre Levy's curator insight, March 22, 2013 10:50 AM

It all starts with a human question. Before machines generate answers, employees from many departments should feel empowered to ask good questions of data, said John Sotham, vice president of finance at BuildDirect.

Beyond questions, humans need to decide which algorithms to employ and which data to use to answer questions, said Scott Brave, founder and chief technology officer of Baynote.

In data science, machine use algorithms to make decisions with clean data for the sake of prediction and optimization, said Sean Gurley, chief technology officer of Quid. But in “data intelligence,” humans “create, change and shape the world we’re in” using small sets of messy data, he explained.

Filipe MS Bento's curator insight, March 23, 2013 9:05 AM

Have a look at another excellent insight from reference author and researcher Pierre Levy.

Denize Piccolotto Carvalho's curator insight, April 18, 2013 11:27 AM
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Latest Creative Infographic Trends: a visualization gallery

Latest Creative Infographic Trends: a visualization gallery | (I+D)+(i+c): Gamification, Game-Based Learning (GBL) | Scoop.it

Infographics have become very famous the past years, and there have been have been numerous examples and posts showcasing inspiring and creative infographics related to certain topics across the internet.

 

This particular collection of designs includes 10 infographics that are not all focused on a specific niche subject, though they can all serve as examples of creative visualizations and innovative ways to convey information. Hopefully they will help inform or provide inspiration for any potential new and developing data visualization projects you may be working on...


Via Lauren Moss, Dave Wood, Mayra Aixa Villar
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