Amazon SageMaker Reviews

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Real User
Vice President & CIO with 51-200 employees
Sep 03 2019

What do you think of Amazon SageMaker?

What is our primary use case?

We use this solution for Outlier Detection using Random Cut Forest. We intend to implement a Predictive modeling project starting in October and have not yet decided on the platform(s) we will utilize. The challenge for us is balancing the Data Scientists, Technical vs. Analyst.

How has it helped my organization?

We are still learning the platform and will conduct more training as we evaluate it for other projects. The few projects we have done have been promising.

What is most valuable?

The most valuable features of this solution are the Random Cut Forest and the IDE.

What needs improvement?

I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time.

For how long have I used the solution?


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Amazon SageMaker Questions

What is Amazon SageMaker?

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

Also known as
AWS SageMaker, SageMaker
Amazon SageMaker customers

DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing,, GE Healthcare, Tinder, Intuit

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