I've spent more years than I want to admit on the business side of the insurance industry. In my current role I work on the value that big data and analytics can deliver to an insurer and, in turn, to their policyholders.
On the other side of things, I own insurance policies, just like most.
Real-world experimentation of a very personal and hyper-analytical nature is what the quantified-self (QS) movement is all about. QS practitioners are playing with approaches that behavioral scientists have traditionally applied to third-party subjects within controlled laboratory experiments. The
The recent death of folk music legend Pete Seeger brought to mind his beautiful song "Where Have All the Flowers Gone?" which he co-wrote with Joe Hickerson. Based in part on traditional Russian folk songs, the song's inspirational power derives from the circular simplicity of its imagery. It
Customer engagement has its roots in the space-time continuum. When you’re a business trying to build bonds of loyalty, experience and influence, you must collapse the distances that make these outcomes difficult to achieve.
Distances between people, places and things matter. People’s proximity—
Since big data is still relatively new technology, many of you are conducting research and seeking quality educational resources. That's apparent in this list of the 10 most popular analyst reports, ebooks and white papers. We are proud to offer such an extensive library - more than 40 items - from
The top 10 blogs from the first half of 2013 show you are interested in learning how to get started with big data – especially if you’re in the banking industry – and looking at just what it is that gives a data scientist that elusive star power. It’s also clear that good blog posts have long legs
Across industries, big data has generated big buzz – and the travel and transportation (T&T) industry is no exception. In fact, T&T CEOs rank the “information explosion” among the top drivers of transformation for their organizations. In this blog, I want to discuss some of the ways in
What if insurance companies could simultaneously improve customer satisfaction, retain valuable policyholders and maximize cross- and up-sell opportunities?
To achieve these goals, insurers need ways to anticipate customer needs and determine the next best action for each individual customer.
Most of us don’t think of big data as a personal resource for mobility, but, clearly, that thinking will need to change. Smarter mobility depends on the ability to serve all of our mobile devices from an intelligent big-data infrastructure
Did you resolve to learn more about big data in 2013? Boost your learning by checking out some new resources you may have missed on IBM Data Magazine. Some of our very own Big Data Hub authors have published pieces on big data topics and solutions.
Will this be the year of the “big data hybrid”? What will become of cross-scale architectures and next best action? Will governance finally take center stage? And will data scientists still be sexy? James Kobielus looks at all this and more in his predictions for 2013.
What's sexy about data science? It has been dubbed the "sexiest occupation" of the 21st century, but you don't see hordes of autograph-seekers and paparazzi flitting around many data scientists. James Kobielus looks at why data science is hot.
It’s difficult to read a banking technology article or go to a conference without hearing about big data. Most of us now believe that big data is more than just hype, that it can offer business benefits to those that can leverage big data into new business capabilities. But a common question I hear