Data analytics and smart buildings increase comfort and energy efficiency (Technical Case Study)

For workplace comfort, the equipment in cooling and heating facilities needs to work properly. Accurately predicting when this expensive equipment is likely to fail helps lower operational costs and increase efficiency. It’s also important to reduce the carbon footprint and save energy. The Real Estate and Facilities organization in Microsoft and Microsoft IT use data analytics, smart buildings, the Internet of Things, and Azure Machine Learning for predictive maintenance, climate control, and HVAC optimization. View full post on SXP RSS Feed