Skytree to Present Webinar on How the Insurance Industry Can Benefit From Machine Learning
(firmenpresse) - SAN JOSE, CA -- (Marketwired) -- 08/18/15 -- , the leader in enterprise machine learning on big data, today announced it will be co-hosting a webinar with Hortonworks focused on driving profitability and lowering costs for the insurance industry using machine Learning on Hadoop. Skytree's webinar will include industry experts Patricia Harman, editor-in-chief at Claims Magazine, Cindy Maike, general manager of insurance industry solutions at Hortonworks and Alexander Gray, Ph.D., Skytree's chief technology officer (CTO) and co-founder.
This webinar will offer strategies on how machine learning on big data can help insurance institutions understand customer sentiments, detect fraud and prevent claims leakage. The presenters will also discuss several use cases that can benefit from the applicability of big data analytics. Whether a firm is a health, property, casualty or life insurance company with accident and disability product offerings, big data analytics using machine learning provides an opportunity to streamline and systematize procedures, optimize pricing and reduce fraud and overall risk.
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Patricia Harman, editor-in-chief at Claims Magazine
Cindy Maike, general manager, insurance industry solutions at Hortonworks
Alexander Gray, Ph.D., Skytree CTO and co-founder
Insurance Webinar: Driving profitability and lowering costs using machine learning on Hadoop
Aug. 19, 2015 from 10 a.m.-11 a.m. PDT
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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. Skytree is at the forefront with enterprise-grade machine learning.
Nolan Necoechea
LEWIS PR for Skytree
415.432.2452
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Datum: 18.08.2015 - 13:00 Uhr
Sprache: Deutsch
News-ID 414379
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