Machine learning at the edge for industrial applications - SVC302 - New York AWS Summit

1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Machine learning at the edge for industrial applications Richard Elberger Global Partner Solutions Architect, IoT AWS S V C 3 0 2

12. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T AIoT – Machine learning at the edge Data transport and routing Data aggregation, enrichment, cleansing, time series, and model config Machine learning and model generation Data collection and model inference Intelligence and outcomes Train in the cloud and infer at the edge AWS IoT Core AWS Snowball Amazon Kinesis AWS IoT Analytics Amazon EMRAmazon S3 Amazon SageMaker Amazon EC2 Amazon SageMaker Ground Truth Apache MXNet on AWS AWS Deep Learning AMIs AWS Snowmobile AWS IoT Greengrass Amazon FreeRTOS AWS IoT SiteWise Bespoke applications

13. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T AIoT – Machine learning at the edge Data transport and routing Data aggregation, enrichment, cleansing, time series, and model config Machine learning and model generation Data collection and model inference Intelligence and outcomes Train in the cloud and infer at the edge AWS IoT Core AWS Snowball Amazon Kinesis AWS IoT Analytics Amazon EMRAmazon S3 Amazon SageMaker Amazon EC2 Amazon SageMaker Ground Truth Xilinx DNNDK AWS Snowmobile AWS IoT Greengrass UltraScale+ (DPU) Amazon FreeRTOS Zynq-7000 (DPU)

21. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Iteratively evaluating and refining: Where data science meets art Annotation Cleansing Data types Re-process raw data

24. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Frameworks ML frameworks + infrastructure ML services AI services Interfaces Infrastructure Amazon SageMaker Amazon Transcribe Amazon Polly Amazon Lex Chatbots Amazon Rekognition image Amazon Rekognition video Vision Speech Amazon Comprehend Amazon Translate Languages P3 P3dn C5 C5n Elastic inference AWS Inferentia AWS IoT Greengrass Ground Truth Notebooks Algorithms + Marketplace RL Training Optimization Deployment Hosting AWS Confidential - Do not Distribute

36. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Device-level dependencies InferenceHandler m2m PS PL /dev/uio0 /dev/uio1 /dev/i2c-0 /dev/i2c-1 /dev/mem AWS IoT Greengrass

40. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Recap Data transport and routing Data aggregation, enrichment, cleansing, time series, and model config Machine learning and model generation Data collection and model inference Intelligence and outcomes AWS IoT Core AWS Snowball Amazon Kinesis AWS IoT Analytics Amazon EMRAmazon S3 Amazon SageMaker Amazon EC2 Amazon SageMaker Ground Truth Apache MXNet on AWS AWS Deep Learning AMIs AWS Snowmobile AWS IoT Greengrass Amazon FreeRTOS AWS IoT SiteWise Bespoke applications

41. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Thank you! S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Richard Elberger https://github.com/rpcme/ https://www.linkedin.com/in/richardelberger/ https://twitter.com/richardelberger

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