SkyFoundry Releases Machine Learning for SkySpark Analytics

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.