As promised, we’re going to revisit a topic I introduced awhile ago in "Why Static Stinks". Based on what I’m seeing recently, static still stinks, so now is a good time to resurface our discussion. Collectively, we’re just not moving fast enough to fix the glaring issues that static–otherwise
"Value" is the key word in several of my top picks this week. From saving money to saving lives to saving time in who you follow on Twitter, we're still finding new ways to get value from data.
“What Executives Don’t Understand About Big Data,” by Michael Schrage, Harvard Business Review HBR Blog
Predictive analytics is not just about forecasting what might happen. It’s also about detecting the warning signs of bad things that, if we don’t act quickly, might prove catastrophic or highly disruptive.
In the engineering world, for example, many organizations use statistical tools to predict
Did you miss me? After taking off the month of August to launch the IBM Big Data Hub (and to run the 199-mile Hood To Coast Relay), I’m eager to be back on the “Top Reads in Big Data” beat, rounding up great articles, blog posts, videos, podcasts and infographics. It was a short work-week in the
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
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,
Imagine if Netflix never updated your movie preferences, or even worse, never asked what you liked in the first place. Imagine if your spam folder never adapted to the changing inbound spam. Or finally, imagine that your Internet radio station presented a fixed playlist that didn’t bother to ask
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
Think "data analytics" are too complicated for most people to wrap their heads around? Think again.
Alex Williams, editor of ReadWriteWeb, suggests that the consumerization of social technologies is beginning to result in a new generation of enterprise-level analytics tools and applications that