Broadcast Date: March 31, 2023
Level: 300
Today, the majority of all data generated contains geospatial information, but only a small fraction of it is used for ML because accessing, processing, and visualizing the data is complex, time consuming, and expensive. With Amazon SageMaker’s new 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. Join us for an interactive demo and learn how to make faster and smarter decisions using the power of geospatial data.
Learning Objectives
- Learn how to accelerate model building with built-in ML models, pretrained for the most common geospatial use cases.
- Discover how to efficiently process or enrich large-scale geospatial datasets.
- Understand how to analyze and explore model predictions on an interactive map.
Who Should Attend?
Data Scientists, Data Engineers, ML Developers, ML Engineers
Speaker(s)
Aaron Sengstacken, Machine Learning Solution Architect, AWS and Xiong Zhou, Applied Scientist, AWS
Learn More
To learn more about the services featured in this talk, please visit:
aws.amazon.com/sagemaker/geospatial/
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