One year ago, we introduced Foursquare’s new Places Engine, a unique crowdsourcing platform that brought together humans and agents to create a comprehensive POI (point-of-interest) dataset. We built this system to find consensus from conflicting inputs and anchored it with a strong spatial foundation to ensure every POI record in our database matches the physical reality. The result is something […] The post How We Built a Self-Calibrating POI Map from Human Input, Data Agents and AI appeared first on Foursquare .