True Analytics™ - Energy Savings, Comfort, and Operational Efficiency
SkyFoundry Releases Machine Learning for SkySpark® Analytics
RICHMOND, VA. (PRWEB) JANUARY 08, 2018 SkyFoundry (http://www.skyfoundry.com),
a leading developer of analytics software for use with equipment
systems and facilities of all types, announced today the release of
Machine Learning Tools for their SkySpark® Analytics software.
SkySpark® automatically analyzes building, energy and equipment data to identify issues, faults and opportunities for improved performance and operational savings. The new Machine Learning Tools provide support for supervised learning for prediction and forecasting through regression-based approaches, and classification using Support Vector Machine (SVM) techniques.
“We have been working with select customers for almost a year as they tested our new machine learning tools. Their feedback helped us optimize the tools to make application as easy as possible. The results have been excellent and we are excited to announce their availability to the entire market. These tools further extend the capabilities of SkySpark and the range of solutions our partners are delivering to customers around the globe,” said John Petze, Principal at SkyFoundry.
SkySpark combines full programmability with an extensive library of built-in functions allowing analytics to be custom-tailored to meet the real-world needs of individual systems and facilities. Owners and operators are able to utilize their specialized knowledge, in conjunction with the deep expertise of SkyFoundry Solution Partners, to implement data analytics that fit their unique system characteristics and project requirements.
More information about SkyFoundry and SkySpark Analytics is available at http://www.skyfoundry.com.
SkyFoundry provides software solutions to create value from the data produced by the Internet of Things. SkySpark® Analytics software is an open, extensible platform enabling data from a wide range of sources to be automatically collected, visualized, and analyzed, to identify opportunities for operational improvements and cost reduction. More information is available at http://www.skyfoundry.com.
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