Big data is the big difference between best-of-breed media and the other guys.
According to a recent study, the top 10% of productive employees don't work full eight hour days. On average, they work for 52 minutes and then take 17-minute breaks. And no, those 17 minute breaks weren't spent on email, social media, or a smartphone app.
Dr. Robert Savala, a leading San Francisco anesthesiologist and pain management specialist who is also incidentally available for a telehealth consultation or second opinion through the HelloMD service, offers us his take on what likely happened to Joan Rivers. And yes, big data analytics may very well prevent such tragedies in the future.
Experts Sherri Rose, Harvard University; David Dunson, Duke University; Tyler McCormick, University of Washington; and Cynthia Rudin, MIT, tackle how big data is transforming society with the help of statisticians.
Are you presenting or exhibiting at Strata in New York? Here's the best way to get your information to me for consideration of coverage. More interested in today's news in big data? We have an excellent guest post this week that you'll want to be sure to read.
Fear has run rampant on the heels of the recent and growing outbreak of the deadly Ebola virus. Media reports run the gamut from "Run for Your Lives!" to "Nah, Nothing to Worry About." Social media isn't often helpful either since people there tend to travel that same range of thoughts and emotions. So, which of all that information is actual knowledge? Hard data, of course, is where we should turn for that.
Even while sophisticated data from set-top boxes flowed in on viewer habits and actions for quick analysis, cable system diagnostic data largely didn't exist. FourthWall Media is addressing that by doubling down on its return path data to include device and system diagnostic data.
Bring-your-own-analytics has been cresting on the horizon for awhile, but IBM's unveiling of Watson Analytics has brought the idea home to roost. Delivering it in a freemium model was a stroke of genius. Let the consumerization of analytics begin in earnest!
Researchers are using a machine-learning algorithm to answer that question and to identify genes within the whole suite of germs living on human bodies that can be turned into highly effective antibiotics.
Now we have even more people to feed on even fewer resources on top of the challenge of protecting the earth. Can big data find an answer to all that and move us into The Evergreen Revolution?