AI for Earth started as a grants program to fund 81 projects in over 60 countries. It has since expanded to directly work on conservation problems by using machine learning to accelerate tasks like camera trap surveys, land cover mapping, and acoustic wildlife monitoring. However, environmental science depends on vast amounts of data, so AI for Earth is building a Planetary Computer to make petabytes of geospatial data accessible without requiring advanced computing skills. They are seeking feedback on current data sets and tools to continue improving how conservation scientists can access and use environmental data.