Like well-coordinated teams in the NBA, today’s insurers need a comprehensive set of analytics tools to shut down fraudsters who perpetrate costly, insidious claims fraud. Discover how to assemble your own dream team of analytics and forensic tools to help your insurance organization emerge
Students fall behind in their educations for any of a number of reasons, but Dr. Komminist Weldemariam is out to find out exactly what those reasons are. By doing so, he and his team hope to help schools and students everywhere ensure that no student falls through the cracks.
By banishing “bankers’ hours,” mobile technology has transformed the banking industry. Learn how one New Zealand bank is using digital tools, real-time data and a reimagined strategy to strengthen customer relationships.
Data science has been called the “sexiest job of the 21st century,” and based on the posts you have been devouring on IBM Big Data & Analytics Hub, the old adage “sex sells” definitely applies. Three of the most popular blogs from the first half of 2014 are about data scientists, and three more
We are taking a week-long look at the most popular content on IBM Big Data & Analytics Hub for the first half of 2014. Here are the most-watched videos of the year so far, covering Hadoop, IBM Watson and use cases for big data.
Half of 2014 has already passed us by, but it was chock-full of educational, thought-provoking and sometimes inspiring content here on the IBM Big Data & Analytics Hub. All week long, we will be reviewing the most read, most watched and most listened to content so you can catch up on anything
With one half of 2013 behind us, let’s take a look at what has been on the top of your mind over those six months. All week long, we will be reviewing the most read, most watched and most listened to content on IBM Big Data Hub. Today, we’ll look at the top 10 most popular podcasts.
Top 5 Big
What's new on big data within the last two weeks? A lot of great content has been added to the Big Data Hub on all different topics and solutions. Catch up on some of the items you may have missed!
Find out where Hadoop fits in a business intelligence data strategy from IBM's Tina Grove by