For several years, the space-based geospatial intelligence industry has been pursuing a logical vision for AI: Use it to make our existing systems faster and smarter. Train models to detect …
Tag:
Spatial
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The spatial data processing and analytics business is critical to the geospatial workload at Databricks. Many teams rely on external libraries or Spark extensions like Apache Sedona, GeoPandas, Databricks Lab …