Industry Leaders Ré, Munson, Fiebig and Murphy Join Big Data Applications Company
SEATTLE – February 8, 2013 – Context Relevant, a developer of predictive analytics applications, today announced it completed major hires, including two PhDs in data science and a senior marketing leader, to expand the company’s data science leadership and business execution capacity.
“We are fortunate to have one of the best machine learning teams anywhere,” said Stephen Purpura, Context Relevant founder and CEO. “We added two PhDs in data science to our team so we can ship big data applications, delivering the promise of predictive analytics to companies and government agencies.
The new hires include
Art Munson, Data Scientist – Previously with Cornell University, Microsoft and Sandia National Laboratories
Craig Fiebig, Vice President, Marketing – Previously with EMC/Mozy, Microsoft and IBM
Tom Murphy, Vice President, Customer Success – Previously with Apptio, Mercury and Accenture
Demand for data scientists tripled over the past six years as companies pursue the benefits of predictive analytics and big data. Predictive analytics require scientists with extensive training in computer science and statistics. Until now, scientists were required to develop models through trial and error.
“Companies are struggling to recruit teams of data scientists, but we give our customers applications that work right out of the box on top of map reduce engines like Hadoop for specific business needs,” said Purpura. “The challenge isn’t big data or analysis, it’s providing immediate business benefit in a world where data scientists are scarce and tools are limited.”
About Context Relevant
Context Relevant delivers predictive analytics apps based on models that can predict changes in your operations, your customers, your product pricing and even what your IT systems are about to do. To find answers from your data faster, easier, and more cost effectively than ever before, email us at BigData@contextrelevant.com, call us at 800-980-DATA, or visit us online at contextrelevant.com.
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