By virtue of their wealth of public data, big cities could benefit greatly from new developments in AI and machine learning, argues Yale Fox, CEO of Rentlogic, a company using predictive algorithms to catch problems before they occur in the New York City rental market. The key, Fox believes, is aggregating data sets across both public and private institutions to increase transparency and better serve renters and landlords alike.
About Yale Fox
Yale Fox is a TED Fellow and the CEO of Rentlogic, a company that analyzes public, private, and proprietary information about New York City buildings to rate landlords and properties. Rentlogic uses an A to F scale to grade quality and provides relevant information about issues like mold, heat, hot water problems, and roaches.