How to Prioritize Data in a Neighborhood That Only Has a Hundred Thousand Pois

This week we are going to learn how Foursquare is trying to identify and map all of the places in the world! 

Foursquare uses a mixture of crowd source and data conflation to maintain a database of 205 million places ... and it's not easy!

Each phone might see the world slightly differently in terms of location accuracies and crowdsourcing data means that people "check-in" at different locations. 

Kyle Fowler - Senior Director, Engineering at Foursquare

Is going to give a behind-the-scenes look at how the "Orginal location-based social network" is trying to map all of the places in the world. 

This episode is the first in a series of episodes I am going to publish in partnership with Foursquare and the idea is to use it as a reference for later episodes about Privacy and location data, Knowledge Graphs, AI, Location Based Marketing and Big geospatial Data in the Browser.