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Overall experience with Amazon SageMaker AI
“Powerful End to End ML Platform With Strong Scalability but a Steep Learning Curve”
“Strong NLP and image analysis support, but managing costs takes effort”
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Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.
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Amazon SageMaker AI Reviews and Ratings
- Marketing Manager10B+ USDTravel and HospitalityReview Source
Powerful End to End ML Platform With Strong Scalability but a Steep Learning Curve
Pretty smooth overall experience. It's powerful once you get familiar with the ecosystem, especially for building and testing ML workflows at scale. I like that it brings together notebooks, training, deployment, and monitoring in one place instead of jumping across a bunch of tools. Some parts have a learning curve, but once everything is configured properly it saves a lot of time and makes experimentation much faster.



