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Everything is there, everything was already there, in fact almost... everything. On this "almost" rests and resides one of the main (the main, on a technical level) reasons for the ongoing dialectical revolution. That is, if a little while ago we asked ourselves why there is so much insistence today on the communication of things that could have been achieved in the past, then certainly the world of machine learning and neural networks are giving a strong push to the much faster and more massive 3D geographical restitutions, whether derived from traditional digital photogrammetric (better to specify) or LIDAR, and the matter allows gross minimization in production times and consequent cost reductions per square kilometer returned, therefore certainly representing a convincing element for understanding the push towards new market paradigms whose explosion we too are witnessing, in the geospatial sector. [ABSTRACT FROM AUTHOR]