In business, every moment is a moment of truth. Every moment can spell the difference between keeping a customer or losing them to a rival that makes them a better offer or delivers a superior experience. And no two moments are ever the same. If you don't seize that tiny window of opportunity, you'
As our populations grow in a world of limited resources governments and individuals seek ways to lighten our load on the planet. In the Smart Grid R&D Program, PNNL investigates how modernizing the electric grid can help the US meet its carbon management goals. In The Smart Grid: An Estimation
Imagine if Netflix never updated your movie preferences, or even worse, never asked what you liked in the first place. Imagine if your spam folder never adapted to the changing inbound spam. Or finally, imagine that your Internet radio station presented a fixed playlist that didn’t bother to ask
Garbage is a precious resource. About 80% of the ton of trash that the average family discards every year could be recycled into useful materials, rather than ending up as pollution that hurts our health and destroys the environment.
Global sustainability won't happen unless we optimize our local
The human condition is an unfathomable mystery, a complex stew of biological, genetic, behavioral, cultural, environmental, psychological, and spiritual factors.
But fathom it we must. When our personal condition stumbles from wellness to illness, we will use any resources at our disposal,
Multiple sclerosis (MS) is a chronic neurologic disorder that afflicts many in the primes of their lives. The biomedical research community has ramped up its use of big data analytics to illuminate the myriad factors that contribute to the onset and progression of MS.
On April 26, IBM announced
Further to news of SUNY’s exploration of big data to understand possible causes of multiple sclerosis, I spoke with David Smith, VP of Marketing at Revolution Analytics, for a briefing on some advantages of R for analysis of large data sets.
We'll start from the very beginning. It's a very good place to start...
Big data is all about Velocity, Variety and Volume, and the greatest of these is Variety. At least it causes the greatest misunderstanding.