We all want to implement smarter analytics - to turn information into insights that we can use to improve both our personal and professional lives. Yet we are often faced with a fundamental, often nagging, problem of getting the right data for whatever analytics we are trying to implement. It’s
Optimality is the new nirvana. The promise of "next best action" is that, somehow, we can program the optimal automated response into every business scenario. Of course, this dream presupposes that someone in your organization can specify the optimal response for any scenario that your personnel
Here are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. Clearly, I was focused on the "big" side of big data, and on the "statistics" DNA of the analytics that power big data, and on the limits of what you can in fact "optimize" with big data and analytics
Game-changing analytics applications don't spring spontaneously from bare earth. You must plant the seeds through continuing investments in applied data science and, of course, in the big data analytics platforms and tools that bring it all to fruition.
If there’s more and more data arriving and time isn’t expandingi, then data must be arriving at greater and greater velocity.
In my last post I talked about Variety in the Volume, Variety, Velocity triumvirate. There’s more to be said about that, but first I’d like to take a run at Velocity. We’ve
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.
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.
The planet is a huge place to optimize. Often, it's not clear, in a world divided among squabbling nations, where we should start.
People-centric lifestyles are paramount. You should begin by making your own corner of the planet more livable. As the world rapidly urbanizes, the demand for Smarter
Today, IBM is excited to announce the acquisition of Vivisimo to our big data portfolio. Vivisimo’s federated discovery and navigation capabilities are a key addition to IBM’s big data platform strategy.
IBM’s big data platform is designed to help organizations analyze any volume, variety and
If you're not careful, your Big Data investment can degenerate from a strategic asset into an unmanageable burden.
I'm not speaking about the potential complexity and cost of the underlying Big Data platform, though those are important concerns. What I'm referring to is the unfortunate tendency
Commercial and government organizations are staring at the confluence of three unique events:
· The unprecedented volumes of data
· The need to easily analyze it, make sense of it and put it into action
· The importance of driving real business value from this analysis
It’s the perfect storm.
Is there a better option?
Not a comment you ever want a customer to utter to themselves, especially in competitive industries such as telecommunications, banking, retail or insurance.
In telecommunications, and for Communication Service Providers (CSPs) specifically, a fundamental tenet is that it