"It’s the single biggest thing that ever happened to me. It really caught me off guard. " Mike Haydock on learning he's become a new IBM Fellow
Mike Haydock, one of the top data scientists in the world and a leading voice in the big data and analytics discussion has just been named an IBM Fellow
Is big data just a buzzword? I say no way! More than 80 percent of the world’s data was created in just the last two years: video, email and social media just to name a few. This data explosion is not lost on healthcare. Beyond the digitization of transactional and clinical data in medical records
In this article, I will examine the prior probabilities that Stanislas Wawrinka, or a player with a similar seeding in the tournament, would go on to win the 2014 Australian Open. I will also review any prior matches similar to the final between Stanislas Wawrinka and Rafael Nadal to determine his
Whether you call it stream computing, data in motion or real-time data, there’s no doubt that one of the most important aspects of big data is being able to capture, process and analyze data as it is happening. This is the velocity component of anybody’s definition of big data.
Unlike data that’s
Last year, I was lucky enough to interview the one and only Santa Claus during some deep-diving research into holiday marketing and seasonal retail trends. As I started to reflect on my exchange with jolly old St. Nick, I began to realize that Santa was primarily applying analytics for big data
Companies whose investments focus on growing talent in data sciences help not only their processes, but also the company as a whole. In our most recent global study on big data analytics, we concluded that the gap between the demand for analytics talent globally and the supply of analytics talent
Did you know that next year, 2014, the number of mobile phones in the world will exceed the number of humans? Are you ready for the rise of the cell phone?
It can be overwhelming, but smart telecommunications providers are turning call record data into actionable insight. How? By using predictive
In my last post, we explored how audience data sources from inside and outside of the media organization can be “unified and utilized” for game-changing applications such as demand forecasting for Opening Weekend Box Office (OWBO) using big data analytics.
Our results showed that IBM achieved high
It seems to me that we just finished up this summer’s Wimbledon tournament and now the US Open is already upon us.
There are a number of differences between the two tournaments, and the most obvious of these is the playing surface; the US Open is played on a hardcourt surface while Wimbledon is
CMOs are enhancing their abilities to contribute not only to the marketing of new products, but also in their development, design, sale and support. These are all data-centric functions that are working together, today to drive business success.
In today’s world of the connected customer, most business-to-business organizations have advanced contact centers. The goal is to ensure that they are ready to handle any inquiry, concern or opportunity to acquire, grow and retain customers. They also understand that with every client-facing
Here’s a big data problem for you. Let’s say you’ve accidentally traveled back in time 30 years and the only way to get Back to the Future is to transfer 1.21 Gigawatts of energy into a beat-up DeLorean.
Well, back in 1985, the solution, by Hollywood standards of course, was the
Analytics solutions designed to handle the volume and variety of data available today also help insurance companies improve catastrophe risk modeling, through which companies determine the exposure of current policies and predict the probable maximum loss (PML) from a catastrophic event.