Blogs

Make Turing Proud: Next Best Action in Multichannel Conversations

June 26, 2012 | by James Kobielus, Big Data Evangelist, IBM
By using your data, you can "humanize" your conversations with customers, regardless of which channel they use to interact with your organization. Find out how IBM Watson's architecture may serve as a model for more intelligent engagement.

Week's Worth of Koby Quick Hits: June 18 - 22, 2012

June 22, 2012 | by James Kobielus, Big Data Evangelist, IBM
Here are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. I went deeper on the themes of experience optimization, Hadoop, big data crowdsourcing, and DW appliance proofs of concept. And I opened up a fresh topic: big data's optimal deployment role. I also...

How Does Big Data Make the World Go Round?

June 22, 2012 | by Brittany Detamore, Social Business Manager, IBM
Big data. Two words that are inescapable in today’s business world.  What do we really know about big data? We know that 90 percent of the world’s data has been created in the last two years alone. We know there are multiple uses for big data in every industry – from analyzing larger volumes of...

More Big Data Mythbusting

June 21, 2012 | by James Kobielus, Big Data Evangelist, IBM
Is big data really "big"? Does big data make better analytics? And do you really need a team of Hadoop engineers on premises? Jim Kobielus busts three more big data myths. 

Response: Top 5 Myths about Big Data

June 21, 2012 | by James Kobielus, Big Data Evangelist, IBM
Jim Kobielus responds to a Mashable post by Brian Gentile on the "Top 5 Myths about Big Data." He offers some additional thoughts on volume, Hadoop, unstructured data, sentiment analysis and NoSQL. 

How to Avoid Drowning in Big Data

June 21, 2012 | by Frank Stein, Client Technical Manager, Analytics Solution Center, IBM
In the 1980’s, John Naisbitt wrote, “We have for the first time an economy based on a key resource [information] that is not only renewable, but self-generating.  Running out of it is not a problem, but drowning in it is.[i][i]”  Little did Naisbitt know how much information we’d be creating 30...

Data Scientists: Run Your Mad Experiments

June 18, 2012 | by James Kobielus, Big Data Evangelist, IBM
Smarter business is a game of incremental improvements. It depends on your ability to produce a steady stream of innovations in your operational processes. Incremental tweaking is not usually a glamorous activity. Minute process adjustments don't usually call attention to themselves. And that's a...

Week's Worth of Koby Quick-Hits June 11th - 15th, 2012

June 18, 2012 | by James Kobielus, Big Data Evangelist, IBM
Here  are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. I went deeper on the themes of information glut, DW appliance POCs, handheld petabytes, and online recommendation engines. I started up a new thread on crowdsourcing in big data modeling, development,...

Healthy Data: Setting Achievable Goals

June 14, 2012 | by Dan Wolfson, Distinguished Engineer, IBM
So far, we’ve discussed the definition of “healthy data” and provided an overview of the process for getting there. In the next few installments we’ll focus on each phase. We’ll start with a deeper discussion on setting achievable goals. Great things are possible with discipline and hard work....

What Skills are Essential for Big Data?

June 13, 2012 | by James Kobielus, Big Data Evangelist, IBM
The planetary economy now spins on an axis of big data. Each of us feels pressure to evolve our skills in order to stay ahead of the big data curve. We do this both to remain employable and to seize new opportunities for professional and personal growth.