Can you share success stories of AWS customers performing ML CI/CD?
I want to create simple templates for scientists so that they can fit their models easily into a continuous integration/continuous delivery (CI/CD) pipeline. I want to know about success stories of AWS customers performing CI/CD on machine learning pipelines.
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Amazon has released the [Amazon SageMaker Pipelines][1] that are the first purpose-built CI/CD service for machine learning: [1]: https://aws.amazon.com/sagemaker/pipelines/
For more information, see [New – Amazon SageMaker Pipelines brings DevOps capabilities to your machine learning projects] [2] [2]: https://aws.amazon.com/blogs/aws/amazon-sagemaker-pipelines-brings-devops-to-machine-learning-projects/
Additionally, we have a case-study where a customer created one on their own for model development using Airflow. For more information, see [NerdWallet uses machine learning on AWS to power recommendations platform][3] and [Using Amazon SageMaker to build a machine learning platform with just three engineers][4]. [3]: https://aws.amazon.com/solutions/case-studies/nerdwallet-case-study/ [4]: https://www.nerdwallet.com/blog/engineering/machine-learning-platform-amazon-sagemaker/
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