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SAN JOSE, CA -- (Marketwired) -- 06/04/15 -- Skytree, the leader in enterprise machine learning on big data, today announced that Professor Alexander Gray, Skytree's chief technology officer (CTO) and co-founder, will present at Hadoop Summit 2015 on June 9 in San Jose, Calif. The session, titled "Is Bigger Data Always Better" will discuss examples that quantify the incremental benefits of using bigger data, across different industries.

Alexander will illustrate how the benefits of bigger data can be defined and quantified in dollar terms. Additionally, he will introduce some rules of thumb, based on the deep principles of statistics and machine learning that summarize how you can apply the benefits of "bigness" to any of your data assets. Big data comes with big costs so understanding the benefit of how big your data needs to be is critical. Join Alexander as he discusses whether bigger data can really drive better insights, and whether there is a point of diminishing returns.

Who:
Alexander Gray, Skytree chief technology officer and co-founder

What:
Is Bigger Data Always Better?

Where:
San Jose Convention Center, Room 212
150 West San Carlos St.
San Jose, CA 95113

When:
June 9, 2015 from 4:35 p.m. - 5:15 p.m. PT

Additional Resources:

• View the Hadoop Summit 2015 Agenda
• Learn more about Skytree: here
• Follow us on Twitter: here
• Follow us on LinkedIn: here

About Skytree
Skytree®, 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.