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Strata+Hadoop World 2015: Skytree and Allstate to Present on Driving Better Business Results With Machine Learning on Hadoop

SAN JOSE, CA — (Marketwired) — 02/18/15 — , the leader in enterprise machine learning on big data, today announced that Ryan Michaluk, a data scientist for Allstate–s Quantitative Research and Analytics Department, and Alexander Gray, PhD, Skytree–s chief technology officer (CTO) and co-founder, will present at Strata+Hadoop World 2015 on Feb. 20 in San Jose, California. The session, titled “,” will examine how Allstate extracts value from data by applying machine learning to make data-driven decisions.

Machine learning is an intensive, iterative process in which significant trade-offs are made between data scientist time and model accuracy. By employing machine learning on Hadoop, Allstate reduces iteration time and increases computation speed with fewer trade-offs made, leading to a shortened development cycle, more accurate model results and more highly optimized decisions.

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Alexander Gray, CTO and co-founder at Skytree
Ryan Michaluk, data scientist at Allstate–s Quantitative Research and Analytics department

Driving Better Business Results at Allstate with Machine Learning on Hadoop

San Jose Convention Center
150 West San Carlos St.
San Jose, CA 95113
Location: LL21 A

Feb. 20, 2015 from 1:30 p.m. – 2:10 p.m. PST

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® – The leader in enterprise machine learning on big data, is disrupting the advanced analytics market with a machine learning platform that gives organizations the power to discover deep analytic insights, predict future trends, make recommendations and reveal untapped markets and customers. Advanced analytics is quickly becoming a strategic technology in the age of Big Data. Backed by investments from US Venture Partners, Javelin Venture Partners, Samsung, UPS and In-Q-Tel, and partnered with leading big data players including Cloudera, Hortonworks and MapR, Skytree is at the forefront with enterprise-grade machine learning.

Nolan Necoechea
LEWIS PR for Skytree
415.432.2452

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