Get Started for FREE
Sign up with Facebook Sign up with X
I don't have a Facebook or a X account
 Your new post is loading...
Your new post is loading...
Scoop.it!
La "bande des 4" n’est pas seule à collecter et revendre des informations personnelles. Le big data enrichit banques, assureurs et la plupart des marchands en ligne.
Learn more:
- https://gustmees.wordpress.com/2013/12/21/privacy-in-the-digital-world-shouldnt-we-talk-about-it/
Via Gust MEES 
Scoop.it!
"Photos, données personnelles, géolocalisation… Au fil des ans, notre vie intime est devenue de moins en moins privée. Et on y est un peu pour quelque chose..."
Scoop.it!
A simple Google image search on “big data” reveals numerous instances of three dimensional one’s and zero’s, a few explanatory infographics, and even the interface from The Matrix. So what does “big data” look like, within human comprehension? From the beginning of recorded time until 2003, humans had created 5 exabytes (5 billion gigabytes) of data. In 2011, the same amount was created every two days. It’s true that we’ve made leaps and bounds with showing earlier generations of data. However, when it comes to today’s big data, how it looks can help convey information but it needs to be more than just beautiful and superficial. It has to work, show multiple dimensions, and be useful. New software and technologies have enabled us to gain higher level access to understanding these enormous sets of data. However, the only way we’re going to truly gather and juice all the information big data is worth is to apply a level of relatively unprecedented data visualization. How do we get to actionable analysis, deeper insight, and visually comprehensive representations of the information? The answer: we need to make data more human. Via Lauren Moss
Ron Leunissen's curator insight,
January 13, 2014 7:27 AM
Drinking from a fire hose is not possible. Neither is reading in a data stream of about 2,5 billion gigabytes per day! 
Andreas Maniatis's curator insight,
January 13, 2014 12:05 PM
How do we get to actionable analysis, deeper insight, and visually comprehensive representations of the information? The answer: we need to make data more human.
Scoop.it!
A lifetime of data in a day? How 21st Century data deluges are changing the way we live.
|
Scoop.it!
From
qz
"Big data—the kind that statisticians and computer scientists scour for insights on human beings and our societies—is cooked up using a recipe that’s been used a thousand times. Here’s how it goes: Acquire a trove of people’s highly personal data—say, medical records or shopping history. Run that huge set through a “de-identification” process to anonymize the data. And voila—individuals become anonymous, chartable, and unencumbered by personal privacy concerns.
So what’s the problem? It turns out that all that de-identified data may not be so anonymous after all. (...)"
Terheck's insight:
To read more about not so "de-identified data", you can read the paper of Arvind Narayanan and Edward W. Felten at http://randomwalker.info/publications/no-silver-bullet-de-identification.pdf
Scoop.it!
"Loffensive de Facebook sur mobile ne fait que commencer. Mercredi 19 février, le réseau social l'a une nouvelle fois prouvé en annonçant le rachat de WhatsApp, la populaire application de messagerie. Montant de l'opération: 16 milliards de dollars, plus 3 milliards en actions pour les fondateurs et les employés ! "
Scoop.it!
New York est un terrain de jeu, un véritable bac à sable pour les designers d'information et les data scientists. Via Henri Lefèvre, Virginie Mahé
Scoop.it!
57 fois plus de données numériques que de grains de sable dans le monde - http://t.co/MYGX3qmH...
|
Learn more:
- https://gustmees.wordpress.com/2013/12/21/privacy-in-the-digital-world-shouldnt-we-talk-about-it/