SageMaker & Deeploy: A non-technical introduction
SageMaker & Deeploy:
A non-technical introduction
SageMaker & Deeploy: A non-technical introduction to help you have an understanding of what both products do. Furthermore, we will discuss the advantages and how you can integrate SageMaker with Deeploy.
What is SageMaker?
SageMaker is a fully-managed service by AWS that covers the entire machine learning workflow, including the training and deployment of models. The industry offers several other platforms with similar functionalities, such as Vertex AI and Azure Machine Learning Studio. These products aim to assist software developers and data scientists in quickly developing and deploying machine learning models in no time.
What is Deeploy?
Our product focuses on responsible and explainable Machine Learning Operations (MLOps). It focuses on creating a safe and responsible MLOps environment where anyone, even those without a technical background, can explain, understand and improve AI decisions. Additionally, our product helps you trace back how certain decisions are made. In fact, this is something essential for modern companies such as neobank and healthcare companies.
Benefits of using AWS SageMaker with Deeploy
As mentioned above, SageMaker will assist you with the machine learning workflow, such as developing and deploying models, but Deeploy can take you to the next level. In fact, after you’ve made your deployment with SageMaker, Deeploy will help you get the most out of it. You can now deploy your models using the Deeploy workflow directly on Sagemaker and access your models through our interface, which is focused on governing your models in production. The Sagemaker integration is particularly interesting, mainly those that are:
- AWS or Sagemaker native customers – as they can easily use the integration with Deeploy and get access to all the extra features. (i.e. explanation of models, human interaction, etc.)
- (new) Deeploy users that are looking for a managed deployment backend (less infrastructure maintenance needed).
How to integrate SageMaker in Deeploy?
6 steps to follow for SageMaker & Deeploy: A non-technical introduction
1. Connect SageMaker through Deeploy’s Integrations page
After logging on to Deeploy, the SageMaker can be added via the Integrations page:
On this page, you can see all the Integrations that we currently have. Then, simply click on ‘Connect’ and enter your:
- Deeploy uses the AWS IAM access key ID & secret access key to connect to your AWS account.
- Default AWS region
- SageMaker IAM execution role ARN
After clicking on ‘Save’ the SageMaker is connected with Deeploy.
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