Among healthcare executives interviewed for the 2010 IBM Global CEO study, 90% expect a high or very high level of complexity of data over the next five years, but more than 40% are unprepared to deal with it. The volume, velocity and variety of data are outpacing the ability for healthcare
When you're in a hurry, the next best action for all the drivers ahead of you is simple: pull over to the shoulder so you can zip through to your appointed destination.
That, however, is never going to happen, unless you're an emergency vehicle with lights flashing and siren blaring. Traffic
While healthcare organizations are amassing vast amounts of data, multiple versions of the truth can contribute to errors in patient care and payment processes. Physicians have been on information overload for decades, contributing to the estimated 15% of diagnoses that are inaccurate or incomplete
As business users start to explore big data and implement big data projects, they are quickly realizing that the technical issue of managing big data is not the only problem they need to be concerned about: Finding skilled professionals who can work with big data is an equivalent challenge.
Customer engagement is a bit of a game, because, deep down, it’s a form of haggling and bargaining. Let’s be blunt: everybody has an ulterior purpose and is manipulating the other party in that direction. The customer is trying to get the best deal from you, and you’re trying to hold onto them and
For the past 2 months, a LinkedIn discussion group has been debating the burning question "Do You Need a PhD to Analyze Big Data?" Always itching for fresh chat, yours truly has stepped into the fray with a humble opinion or two. And I got flamed in no uncertain words. In fact, one PhD who didn't
For some vendors, the only use case for unstructured data is to turn it into structured data to analyze it in a relational database. This is a legitimate use case, especially where you want to analyze in conjunction with relational data, or you want to make it available for what I called “speed of
A road trip to the Kimberley region confirms the wisdom of selecting optimized systems for specialized workloads. Outback Australia is tough country, and the locals drive vehicles specifically designed and built for this terrain - predominantly Mitsubishis, Nissans and Toyotas. Off-road driving’s
Below are the top three questions I hear all the time from business partners and customers alike. I will take a moment to address each one. Before I do that, however, I wanted to flash back to 1995. I was responsible for building a channel around our new e-commerce offering called Net.Commerce (
Here are the quick-hit ponderings that I posted on various LinkedIn big data discussion groups this past week. I opened up one new theme–Big Media (which I'd introduced a few weeks back at this IBM big-data-relevant site) –and extended my existing discussions of peta-governance (going beyond what
The term “big data” implies that size is the single distinguishing characteristic of the raw digital chaff from which businesses must now extract the wheat of actionable information. But as cloud computing becomes more pervasive, it’s not just the size of data that challenges organizations, but its
Visitors to IBM Netezza's "Thinking Inside the Box" may find something quite unexpected when they visit the site in the next few days. "Thinking Inside the Box" is becoming the IBM "Big Data Hub". While much of the content you've come to expect on "Thinking" will still be represented, we're
James Kobielus recaps last week's quick-hit ponderings, covering meaty metadata, proofs of concept, the role of behavioral analytics in recommendation engines, decision scientists, and the speed of thought.
Have you wondered to yourself – or asked out loud – “What is big data?” Chances are pretty high you have, and if so, you are certainly far from being alone. If you do a Google search, you’ll get a list of more than 675 million results for the phrase “What is big data?” To us, that alone is “big