Aquicore Launches “Automatic Diagnostics,” A New Machine Learning Tool for Its Comprehensive Commercial Real Estate Operations Platform
Summary
Built from decades of crowdsourced knowledge consisting of the most important issues and optimizations buildings of all sizes run across, the intuitive platform accurately identifies potential problems in buildings’ operation systems that would normally go unnoticed. Automatic Diagnostics presents potential issues in a meaningful way such that time-crunched building engineers and property managers can take action, resulting in lower operational costs, increased energy efficiency and a boost in overall asset value and performance across a portfolio. Fully integrated with Aquicore’s cloud-based, IoT-driven platform, Automatic Diagnostics is Aquicore’s machine-learning feature that detects usage anomalies from a building’s energy curve and alerts the appropriate building staff in real time. “The industry has been yearning for more intuitive tools that save time and don’t require data expertise to help them better manage and operate their buildings efficiently,” said Mike Donovan, senior vice president of product at Aquicore. Aquicore’s clients include Cushman & Wakefield, JBG Smith, Lincoln Property Company, MRP Realty, Under Armour, Facebook, and The World Bank.
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