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Want a data science job? Then use the data to help you figure out where to live and what sectors are hiring. Read more »
While consumers might be willing to trade their data for better experiences, John Foreman argues we might not understand the tradeoff at all. As machine learning advances, companies’ models will treat… Read more »
MailChimp Chief Data Scientist is at Disney World this weekend wearing his RFID-equipped MagicBand. Here’s how he thinks the practice of digitally tracking consumers in the physical world will reach everywhere… Read more »
The relevancy-defining, edge-weighting algorithms of Google’s Knowledge Graph, Facebook’s Open Graph and Gravity’s Interest Ontology are closely guarded company secrets. Imagine if that data was available to everyone — it would… Read more »
ShareThrough data scientist Ryan Weald shares his thoughts on the importance of making data science as much about building products as it is about math, and how to organize a company… Read more »
Ron Bodkin of Think Big Analytics discusses the best and worst practices for adopting big data technologies and actually getting results. Companies must beware of dangerous decisions, charlatans and disastrous missteps. Read more »
We talk a lot about big data, but only analyze 1 percent of what’s available. In order to take advantage of the other 99 percent, we need to reconsider how we… Read more »
While some are hoping for better software to reduce the need for data scientists, WibiData’s Omer Trajman thinks we need more of them. Better software, he argues, is actually just a… Read more »