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.
If this was a start-up, that would be good for at least $100M...
Analytics. Big Data. At a recent conference I attended, one of the keynote speakers stated that start-ups with “Analytics” in their business description are getting about two times the average valuation by the venture capital
Big data is not just about scaling your data analytics processing platforms to keep up with the onslaught of new information. Just as important, big data is about bringing together your best and brightest minds and giving them the tools they need to interactively and collaboratively explore rich
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.
Monty Python’s Mr Gumby was anatomically on the money when he exclaimed “my brain hurts”. Our brains and bodies communicate via long axons that run from gray matter through our spinal cords. Neural communication is two way – when we cut a finger or knock a shin messages charge across a network of