AI/ML for geospatial ebook
Geospatial data and insights are used by customers every day to assess risk, insurance claims, inform trading strategies, monitor climate change, sustain urban development and maximise harvest yield.
Geospatial data and insights are used by customers every day to assess risk, insurance claims, inform trading strategies, monitor climate change, sustain urban development and maximise harvest yield and food security. In this webinar, find out about how you can use AI/ML on your geospatial datasets to bring new insights to market. Using AWS services like Amazon Sagemaker for Geospatial, data scientists and ML engineers can easily build, train, and deploy ML models using geospatial data. Access geospatial data sources, purpose-built processing operations, pre-trained ML models, and built-in visualization tools to run geospatial ML faster and at scale.