Featured Author

Joseph Blue
Data Scientist , MapR

In his role as Data Scientist at MapR, Joe assists customers in solving their big data problems, making efficient use of the Hadoop ecosystem to generate tangible results. Recent projects include debit card fraud & breach detection, lead generation from social data, customer matching through record linkage, lookalike modeling using browser history and real-time product recommendations.

Prior to MapR, Joe was the Chief Scientist for Optum (a division of UnitedHealth) and the principal innovator in analytics for healthcare. As a Sr. Fellow with OptumLabs, he applied machine learning concepts to healthcare issues such as disease prediction from co-morbidities, estimation of PMPY (member cost), physician scoring and treatment pathways. As a leader in the Payment Integrity business, he built anomaly detection engines responsible for saving $100M annually in claim overpayments.

Author's Posts

Posted on February 21, 2017 by Joseph Blue

In the US, more money is spent on healthcare – about $3.2 trillion last year – than in any other discrete segment of the economy. By some estimates, that is about $600 billion more than should be spent, given the country’s size and wealth. These costs are pummeling consumers and their employers around the world.

Posted on March 14, 2016 by Joseph Blue

There are 150 quintillion (i.e. the one after quadrillion) permutations to consider when completing your NCAA bracket. Some of us don’t have time to review them all; if you are likewise short on time, you can let MapR do the heavy lifting for you and get your personalized bracket from the Crystal B-Ball!

Posted on January 28, 2016 by Joseph Blue

This time, it’s personal. Super Bowl 50 is being played at Levi’s Stadium in Santa Clara – within sight of many of the world’s most innovative technology companies, including MapR.

Posted on December 17, 2015 by Joseph Blue

This first recorded argument about the superiority of football teams probably occurred ten minutes after the discovery of pigskin. Before the current college playoff system was created, these discussions were largely perfunctory.

Posted on December 1, 2015 by Joseph Blue

The meteoric growth of available data has precipitated the need for data scientists to leverage that surplus of information. This spotlight has caused many industrious people to wonder “can I be a data scientist, and what are the skills I would need?”.

Posted on October 1, 2015 by Joseph Blue

It’s difficult to describe what a real breach looks like, but you will know it when you see it. To identify a potential breach, we assess the amount of activity of accounts later experiencing fraud at each merchant and then visualize the results.

Posted on August 5, 2015 by Joseph Blue

Did Harper Lee write To Kill a Mockingbird? For many years, conspiracy buffs supported the urban legend that Truman Capote, Lee’s close friend with considerably more literary creds, might have ghost-authored the novel. The author’s reticence on that subject (as well as every other subject) fueled the rumors and it became another urban legend.

Posted on May 6, 2015 by Joseph Blue

Building a good classification model requires leveraging the predictive power from your data and that’s a challenge whether you’re looking at four thousand records or four billion; in machine learning parlance, this step is referred to as “feature extraction”.

Posted on April 7, 2015 by Joseph Blue

It Happens Every Spring – “Hope Springs Eternal”, from the poem by Alexander Pope, wasn’t written about sports, but it has been co-opted because it adequately captures the feelings of optimism, warmer weather and better times ahead for fans of MLB. Major League baseball’s statistics are rich in quantity and history. But Spring Training has changed significantly. Gone are the days when players needed time to adjust to major league caliber after their real jobs (including military service). Today’s major-leaguers are in top-notch condition year-round, the result of advancements in training...

Posted on March 30, 2015 by Joseph Blue

Network graphs give a high-level view of the relationships among entities in your data; sometimes a different approach can give fresh insights into how they interact with each other and identify a connection you didn’t know was there. Some pictures can be worth much more than 1,000 words.


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