A majority of all data captured has geospatial information; however, only a small fraction of it is used for ML because it can be challenging to access and acquire high-quality data sources, prepare massive datasets for training, or acquire specialized tools to visualize data. In this session, learn how with Amazon SageMaker geospatial capabilities, you can access readily available geospatial data sources, easily process large-scale geospatial datasets with purpose-built operations, accelerate model building with pretrained ML models, and use rich visualization tools to explore predictions on an interactive map. Learn how to make faster and smarter decisions using the power of geospatial data.
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