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The effective functioning of utility assets is crucial to modern society. Utility companies building and maintaining these structures must comb through an extensive corpus of new and historical data to make informed decisions. The foundational geospatial data, however, is still analog in nature and often linked to antiquated workflows, which leads them to spend significant time cleaning and contextualizing data to gain actionable insights. This is costly, making data more of a liability than an asset. 

