Top 10 VINTlabs posts of 2012 – Part 2

In two posts we will highlight our most read and shared posts from 2012. Today: part 2. Big Data in the Big Apple: understanding New York using millions of Foursquare check-ins – Thomas van Manen What can we learn from millions of check-ins on Foursquare? An unprecedented view into the behavior of cities. How big data is making cities easier to use. Big Social: Predicting behavior with Big Data – Download the new VINT research report – Jaap Bloem Yes, we are talking Big Social here: Predicting behavior with Big Data. Our second research report on Big Data bears this title and is available to all as of today [DOWNLOAD]. Learn how To Be AND Not To Be is now holding new answers. Don’t Believe The Hype: Cutting Through the 2012 Hype Cycle – Jaap Bloem It cuts no ice. Despite the fact that the digital puzzle has now largely been outlined, modeled and dressed up with features, we still don’t see how things actually fit together. The economy, society, or life itself. At best, we recognize connections and immediately attach short-term consequences to them. But the next moment we replace them with other connections and implementations, just as easily. Gartner’s annual hype cycle borrows its raison d’être from such practices, even reinforcing them, unfortunately. Big Data, Crowdsourcing and Gamification: making Data Science a sport – Thomas van Manen Adding crowdsourcing and gamification to Big Data? That’s the combination that is at the heart of start-up Kaggle, a platform for predictive modelling and analytics competitions. The idea is quite simple: companies and researchers post their data and statisticians and data miners from all over the world compete to produce the best models. So far organizations such as NASA, Wikipedia, Deloitte and Allstate have been using Kaggle and its competitions. Will Vodafone become the Apple of Big Data? – Menno van Doorn This is the first day for Jens Schulte-Bockum in his new role as CEO of Vodafone Germany. How does he look at the future? Seven questions on Big Data that could give you an idea of how he looks at technology.