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
Based on his recent blog post, “Why Static Stinks,” Tom Deutsch, program director of IBM big data portfolio, further explains why non-personal recommendations – or “static” – are bad. Deutsch states that it is important to understand not only the trends of consumers, but who they are as people,
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
IBM InfoSphere Streams helps define and run powerful analytics on structured and unstructured data in motion. In the healthcare domain, InfoSphere Streams is currently being used to continually analyze up to 16 concurrent streams of physiological data (Blood Pressure, EKG, Blood Oxygen Saturation
Fiserv, a leader in the financial services industry, is using an IBM InfoSphere Warehouse solution built on IBM DB2 as part of a solution to turn billions of transactions into actionable insights that help banks better target offers and maximize their marketing dollars. The use of cloud
Vestas, a leader in modern energy, chose IBM InfoSphere BigInsights to pinpoint the optimal location for wind turbines to maximize power generation and reduce energy costs. Solution reduces response time for wind forecasting information by approximately 97 percent—from weeks to hours—to help cut
Catalina Marketing's VP of Business Intelligence Solutions explains how the company is staying ahead of the curve by implementing a high-performance predictive analytics solution based on IBM Netezza data warehouse appliances.
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