Broadcast Date: February 17, 2020
In this tech talk, learn how you can integrate edge computing and machine learning with IoT solutions by combining AWS Cloud services with AWS IoT Greengrass. We will then go over how machine learning can provide important functions in mixed criticality systems through practical machine learning examples at the edge with AWS IoT Greengrass on Zynq Ultrascale+. You will see how this is applied across object classification, model-based calibration, and model-predictive control inferencing.
- Learn how to use AWS IoT device software for industrial use cases
- Learn how you can integrate edge computing and machine learning with IoT solutions by combining AWS Cloud services with AWS IoT Greengrass
- Learn about ML inference at the edge, why it matters, and how to use it to build intelligent IoT applications
Who Should Attend?
IoT Developers, Embedded Developers, IT Managers, IoT Architects
- Richard Elberger, Principal Partner Solutions Architect, IoT, AWS
To learn more about the services featured in this talk, please visit:
Service How To
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Amazon EC2 P3 Instances.