Swimming Australia: Going for Gold at the Olympics with Machine Learning

Having won 9 gold, 3 silver, and 8 bronze medals along with setting a new world record in the woman's 4x100 freestyle relay in Tokyo 2021, the Australian Olympic Swim team delivered their most successful Olympic games ever.

Join builder Gerardo Estaba on this special episode of This is My Architecture as he explores how Swimming Australia use machine learning in the AWS cloud to assist swimming coaches with their relay order decisions. We explore how historical swimming results and other swimming data are ingested in the cloud, transformed and then used to train a machine learning algorithm that's queried by coaches using a custom app to help them predict swimming times and the best possible relay order.

We dive into Swimming Australia's event-driven architecture for their relay order prediction system, to understand how they ingest, transform and orchestrate data using AWS Glue, AWS Step Functions and Amazon Simple Storage Service (S3). We also learn how they leverage Amazon Athena and Amazon SageMaker to build, train, and deploy the relay order machine learning models, and how they leverage Amazon Aurora, AWS Lambda and Amazon API Gateway to process requests from the coaches application.

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