Overview
Product Information on Amazon SageMaker AI
What is Amazon SageMaker AI?
Amazon SageMaker AI Pricing
Overall experience with Amazon SageMaker AI
“Sagemake AI : an end to end ML workflow service”
“Sagemaker Enables Efficient Data Handling Yet Complexity and Platform Dependency Noted”
About Company
Company Description
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.
Company Details
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Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
User Sentiment About Amazon SageMaker AI
Reviewer Insights for: Amazon SageMaker AI
Deciding Factors: Amazon SageMaker AI Vs. Market Average
Performance of Amazon SageMaker AI Across Market Features
Amazon SageMaker AI Likes & Dislikes
It offers end to end ML workflow support from data labelling to network , training ML jobs to model tuning, scalability is something that is very helpful for small as well as big pipelines and models and the integration with other AWS makes the monitoring easy.
We have different kinds of data stored all over AWS (S3, redshift, etc) so using Sagemaker is seamless in fetching and using the data. Overall it is a managed solution so we don't have to build AI infrastructure ourselfs and can focus on refining our models.
automated training and SageMaker pipelines.
Cost complexity is something to look out for as the cost can be very tricky when dealing with long runbook instances and large scale training models, it is restrictive to aws which can be very difficult if someone is looking to integrate with other resources apart from aws.
The learning curve is quite steep, especially if you go beyond the defaults. Vendor lock is a problem too. which means we are stuck in AWS.
- inability to deploy containerized solutions as seamlessly as using SageMaker models. - learning curve is quite high - requires a lot of code to connect all structures. SageMaker jumpstart is great, but theres still a lot of code.
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Peer Discussions
Amazon SageMaker AI Reviews and Ratings
- CLOUD ENGINEER / CLOUD SPECIALIST50M-1B USDBankingReview Source
Sagemake AI : an end to end ML workflow service
Sagemaker is an excellent service especially for enterprise and regulated environments, extremely helpful to build, train, tune and deploy AI & ML models very quickly and efficiently. - SENIOR SYSTEMS ENGINEER50M-1B USDBankingReview Source
Sagemaker Enables Efficient Data Handling Yet Complexity and Platform Dependency Noted
We have a lot of data and are trying to prototype ML models to train them on our datasets. We hope that the models we train will help us to boost efficiency of our processes and improve our infrastructure. - IT Associate<50M USDServices (non-Government)Review Source
Fine tuning is key and think about custom UIs for user feedback of the model and other ways to track feedback.
I've used it last year in a trial and plan to use it more this year to create a custom model (fine tune) for insurance contract selection based on 271 information from our payers. - SENIOR DATA SCIENTIST50M-1B USDIT ServicesReview Source
High Learning Curve and Challenges with SageMaker
excellent tool to train and deploy AI / ML solutions. unfortunately when it comes to custom models outside the scope of SageMaker models, it becomes harder to deploy solutions. - Software Developer50M-1B USDSoftwareReview Source
Initial Complexity of Platform Linked to AWS Permissions and Instance Configuration
As a student my overall experience has been positive. Its lets me run real machine learning projects with managing servers.