Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. Traditional ML development is a complex, expensive, iterative process made even harder because there are no integrated tools for the entire machine learning workflow. You need to stitch together tools and workflows, which is time-consuming and error-prone. SageMaker solves this challenge by providing all of the components used for machine learning in a single toolset so models get to production faster with much less effort and at lower cost.
“We are leveraging Amazon SageMaker as our principal tool to build our machine learning models and this has made our model management system called “Aldebaran” more scalable. SageMaker has enabled seamless integration into our workflows including building, training, and deploying ML models simultaneously. Previously, it used to take us 3 to 6 months to deploy models into production. With SageMaker, we can deploy a model into production in 1 to 4 weeks, saving time and increasing productivity. SageMaker is our standard ML platform of choice for all our ML models.”
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