Amazon SageMaker
Amazon SageMaker is a cloud-based machine learning service from Amazon used to build and deploy predictive analytics solutions.
Integrations and Connectors
AgilePoint NX integrates in these ways with Amazon SageMaker:
- Activities in Process Builder
- Access tokens
Activities in Process Builder
You can use out-of-the-box activities for Amazon SageMaker to execute actions in process-based apps.
An activity is a functional unit, or task, in a process-based app. Activities that integrate with a third-party system provide access to the API functionality for that system in a simple, point-and-click, form-entry format. This means that you can easily leverage APIs without writing code.
The following activities are available.
- Amazon SageMaker
For more information, refer to the Amazon SageMaker activity in Process Builder.
Access Tokens
You can create access tokens for Amazon Web Services.
An access token is a secure object that stores an endpoint (usually a URL) and authentication credentials to connect to a service or technology. Often this is an external or third-party service, like Salesforce or SharePoint, but access tokens can also connect to an AgilePoint NX enviornment, local database, or other types of technologies. Once an access token is created, app designers can simply select and reuse it, rather than entering the credentials each time they are needed.
For more information, refer to Access tokens for Amazon Web Services.
Related Topics
- Machine Learning tab - Process activities
- Access tokens for Amazon Web Services
Amazon SageMaker Documentation
Use these links to find third-party vendor documentation for Amazon SageMaker:
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Keywords
Amazon SageMaker, sage maker, Amazon Web Services, aws, machine learning, AI, artificial intelligence