QUICK FACTS

HEAD OFFICE

1731 Technology Drive, Suite 700
San Jose CA 95110
United States

COUNTRIES SUPPORTED

United States

LANGUAGES OFFERED

English

category

CATEGORIES

Big Data

INDUSTRIES

Education and research, Financial Services, Public sector and governments, Retail

SIZE OF CUSTOMERS

Large

 
Founders:
 
Year founded:December 2010
Funding received: $21.6 Million
Investors:
 
#Employees:51-200 employees
Awards won:Winner at Plug and Play’s Summer Expo
 

Overview

Skytree has developed a system that can help organizations discover deep analytic insight of their available data. The machine learning platform can predict trends, make recommendations and reveal untapped markets and customer based on the available data. Machine learning goes much further then general business intelligence.

With business intelligence users still need to know which questions to ask to make information out of the data. With Machine Learning this is not necessary anymore as machine learning covers predictive analysis, data mining pattern recognition, similarity search, outlier detection and recommendation systems. It can come up with patterns you would not have thought about before.

The goal of Skytree is to bring machine learning to the mainstream. They have developed a product called Skytree Server, which is a general-purpose scalable machine learning system. The Skytree Server can be easily connected and configured to existing IT infrastructure.

According to Skytree “it can accept data streams from multiple sources and compute near-instantaneous results on each one”. The algorithms of the Machine Learning allow scalability and processing the big data at high speed. Machine Learning is used by a lot of companies to analyse huge amounts of specific data.

The technology of Skytree however can analyse any type of data. It can perform similarity search such as used in Shazam, it can provide extensive recommendation to the level of recommendations based on combinations of previous purchases, discussions on social media, search path on a website, historical searches etc. With machine learning the system is improved over

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