SAN JOSE, CA — (Marketwired) — 11/10/15 — , the leader in enterprise machine learning on big data, today announced it will present a webinar on the most common challenges that lead to the failure of big data projects. Skytree–s webinar will include guest speaker Mike Gualtieri, principal analyst at Forrester Research, and Alexander Gray, Ph.D., co-founder and chief technology officer (CTO) at Skytree.

While many companies have invested in descriptive analytics, they must take the next step to advanced analytics for predictive, streaming and prescriptive insights to ultimately gain a competitive edge. In order to produce results from data projects such as minimizing customer churn, analyzing financial risk and improving customer experience, companies must know how to properly analyze data to yield the results needed to help the businesses bottom line.

This webinar will identify the top nine mistakes and misconceptions that often cause big data initiatives to fail, as well as strategies to overcome these challenges and successfully implement machine learning on big data.

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Mike Gualtieri, principal analyst at Forrester Research
Alexander Gray, Ph.D., Skytree co-founder and CTO

Nine Reasons Big Data Projects Fail

To attend the webinar, sign up .

Nov. 12, 2015 from 10 a.m.-11 a.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. Skytree is at the forefront with enterprise-grade machine learning.

Nolan Necoechea
LEWIS PR for Skytree
415.432.2452

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