Machine Learning Development Platform Race Heats up as AWS Launches SageMaker

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1Q 2018 | IN-5046


AWS Plays Catchup Launching New ML Service for Developers


AWS already hosts an array of third-party machine learning (ML) service platforms for developing AI algorithms, and even had its own Amazon Machine Learning service. However, the market perception of Amazon Machine Learning was that it barely scratched the surface of what was possible with such a platform, and that other offerings from Google, Microsoft, IBM, and new entrant Algorithmia were more capable. ML service platforms bridge the gap between AI frameworks and developers, allowing developers and data scientists to research and produce ML models in a user-friendly environment, a layer above framewoks like TensorFlow and Caffe2.

At AWS re:Invent, Amazon launched a new AI development platform, SageMaker, stepping up its ML service offering and targeting companies looking for an easy entry point into developing ML applications. Amazon claims that “SageMaker is a fully managed end-to-end machine learning service that enables data scientists, developers, and machine learning experts to quickly build, train, and host machine learning …

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