In a competitive and data-driven world, where satellite, aerial, and drone imaging is accessible at an increasingly lower cost, deriving geospatial insights from this data is typically done manually, representing a time-consuming and labor-intensive process. On the other hand, developing an in-house Artificial Intelligence program to automate and scale-up geospatial analytics workflows represents a very […]
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