Two New Solution Accelerators for AWS IoT Greengrass Machine Learning Inference and Extract, Transform, Load Functions
The Extract, Transform, Load (ETL) and AWS IoT Greengrass Machine Learning Inference (MLI) Solution Accelerators make it easier and faster for developers to build IoT edge solutions with AWS IoT Greengrass.
The Extract, Transform, Load (ETL) and AWS IoT Greengrass Machine Learning Inference (MLI) Solution Accelerators make it easier and faster for developers to build IoT edge solutions with AWS IoT Greengrass.
The ETL Using AWS IoT Greengrass Solution Accelerator enables developers to quickly build, test, and develop IoT solutions that include extract, transform, and load functions.
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The AWS IoT Greengrass MLI Solution Accelerator demonstrates how to deploy and run machine learning models trained in Amazon SageMaker on a local edge device running AWS IoT Greengrass, with the ability to perform local inferencing on locally-generated data while publishing the inference results to connected AWS IoT Greengrass-aware devices or AWS.
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You can learn more about AWS IoT Greengrass here. You can explore all AWS IoT solution resources here.