Big Data Everywhere Phoenix 2016
Phoenix, AZ
Wednesday, May 25, 2016
Big Data Everywhere is a half-day conference focused on Hadoop, Spark and other big data technologies that brings together users and developers to share their experience via technical sessions and user success stories. Industry and technical experts will share their knowledge, share best practices, and discuss use cases and business applications.


The Customer 360 Revolution

Joseph Blue View Bio

The customer may always be right, but what if they don’t know what they want? Measuring satisfaction, sentiment or churn using traditional methods with limited data often belie true customer intent. But customers telegraph their next moves indirectly; and when actions speak louder than words, do you have the right tools to hear them? I will share recent examples in which I used machine learning methods via Hadoop to incorporate large amounts of data with varying amounts of structure to predict the customer’s behavior and discuss how businesses are beginning to apply that capability to their bottom line.


Joseph Blue

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.