Data Scientists: Explore Game Theory to Boost Customer Engagement

August 13, 2012 | by James Kobielus, Big Data Evangelist, IBM
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...

Data Scientists: Credentialed or Otherwise

August 13, 2012 | by James Kobielus, Big Data Evangelist, IBM
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...

Semi-Structured Data Analytics: Relational or Hadoop Platform? Part 2

August 11, 2012 | by Dai Clegg, VP product marketing, Acunu
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...

Horses for Courses

August 10, 2012 | by Mike Kearney, Sr. Product Marketing Director
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...

Top Three Questions about Big Data

August 10, 2012 | by Bruce Weed, Program Director, Watson and Big Data Ecosystem Development, IBM
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 (...

A Week of Koby's Quick Hits - Aug. 6-10

August 10, 2012 | by James Kobielus, Big Data Evangelist, IBM
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...

Big Weather, Big Data

August 9, 2012 | by Frank Stein, Client Technical Manager, Analytics Solution Center, IBM
Derechos, Droughts, Hottest July on Record, Shattered High Temp Records, Greenland Ice Sheet Melts.  Just what is going on with the weather these days?  Is this weather really abnormal or does it just seem to be that way? Is this part of a trend?  Does global climate change mean we’ll have more of...

Big Data and Ambient Analytics

August 8, 2012 | by Tracey Mustacchio, VP WW Marketing, Information Management, IBM
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...

Thinking Inside the Box to become IBM's Big Data Hub

August 7, 2012 | by Matt Carter, Social Media Strategy Lead - Information Management, IBM
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...

Week's Worth of Koby Quick Hits: July 30 - August 3, 2012

August 7, 2012 | by James Kobielus, Big Data Evangelist, IBM
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.