Everything, Everywhere all at Once: BlueGlobe and the need for unified geospatial AI

80% of data is reckoned to have some geospatial relevance. The problem is that it comes in a huge range of formats and co-ordinate systems: satellite, sensor, survey, demographic, mapping just for starters. And it tends to be used in those silos – integrating different data classes is expensive, time-consuming and requires specialist skills. If however you create a universal geospatial computational framework and map all data into it, you support real-time interactive discovery, exploration and forecasting. And that’s what we’ve been doing: creating BlueGlobe, our computational data intelligence platform - a Digital Twin for Earth