Amazon SageMaker Partners help customers solve business challenges with machine learning. The AWS Competency Program has validated that the services partners highlighted below have demonstrated expertise delivering machine learning (ML) solutions with Amazon SageMaker.
The software offerings listed below have product integrations with Amazon SageMaker that have been reviewed and certified by AWS Solution Architects as Amazon SageMaker Ready through the AWS Service Ready Program. The Amazon SageMaker Ready specialization helps AWS customers identify software solutions that integrate with Amazon SageMaker – allowing them to seamlessly solve use cases and innovate with machine learning.
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Merkle
“At Merkle, we built an end-to-end machine learning workflow to predict customer churn, leveraging Amazon SageMaker Pipelines for data processing, model training, and model deployment for inference. Although tools like Airflow are powerful and highly configurable orchestrators, learning them and managing the infra is an operational overhead for data scientists. Amazon SageMaker Pipelines is convenient for data scientists because it doesn’t require heavy-lifting of infrastructure management and offers an intuitive user experience. By allowing users to easily drag-and-drop ML jobs and pass data between them in a workflow, Amazon SageMaker Pipelines become particularly accessible for rapid experimentation. With all the essential steps of an ML workflow neatly organized, the visual designer offers a clean and user-friendly experience. This added convenience can significantly streamline workflows and enhance productivity for both teams and individuals.”
Dr. Lorenzo Valmasoni, Data Solutions Manager, Merkle