Key takeaways:

1. How geospatial is collected 
2. The issues faced after the data is collected
3. How is the cloud leveraged to store and process the large amounts of geospatial data
4. How is the cloud leveraged to sort through and provide insights to the data
5. How the visualization of the processed geospatial data gives context to the predictions made by the AI