Martin Spindler is a consultant and thought leader on the Internet of Things and the Future of Energy. He is the founder of the Internet of People, a global consultancy network which offers services aiming to make sense of the rapidly shifting environment of increased connectivity and ubiquitous digitisation. He

Nicolas has previously worked for Salesforce.com in Dublin and with Goldman Sachs International in London, and has written for Dataconomy and VentureBeat. Currently based in Paris, Nicolas is an avid fan of technology and Big Data. See all of Nicolas Silvy’s posts here.

Chris Pearson is a partner at Big Cloud. Big Cloud is a talent search firm focusing on all things Big Data. In his debut article with us, Chris talks about the science behind finding the right Data Scientist. See all of Chris Pearson’s posts here.

Melanie is a postdoc at Harvard University, where she is creating and munching data from biological experiments. Most of the time she she is trying to figure out what yeast cells have done while growing on a Petri dish. It turns out that automated data analysis with Matlab and Python

Last Friday saw AT&T presenting new prototypes and discussing the future of technology at their Innovation Showcase in New York. Among the prototypes displayed were GPS sensors for luggage, software for streamlining equipment management in businesses and accessible data visualisation software than can be run from a laptop or tablet.

The use of socially generated “big data” from our daily activities has become a new technique to understand and predict our collective behaviours. Big data techniques have multifarious applications — for example predicting flu outbreaks based on the volume of tweets mentioning flu-related keywords, understanding the patterns of human mobility

Netflix started with home delivery of DVDs in the late 90s, and moved to video-on-demand Internet streaming in 2007. The company has since moved away from simply distributing content to creating it. House of Cards is the first major TV show to bypass the more traditional distribution channel of TV

A common concern with big data is privacy – where do we draw the boundary between public information that can be mined, and private information that cannot. This becomes increasingly acute as people are broadcasting more information about themselves. Existing data protection laws generally allow individuals to request that the

Last week, we featured Twitter’s engagement and credibility problems and how, if untreated, may spell the platform’s demise. This week we review the dynamics of rumor-sharing. Social media has democratized the act of disseminating information to a wide audience and in real time. While this dilutes the monopoly held by

Last week, in conjunction with Big Data Week, we featured the best articles that speak to the power of big data. While Big Data allows to extract insights like never before, it is also not the magic bullet in all situations. This week we feature the best articles that highlight