Microsoft Azure Machine Learning

Microsoft Azure Machine Learning is a suite of services from Microsoft that enable you to build and deploy predictive analytics solutions.

Integrations and Connectors

AgilePoint NX integrates in these ways with Microsoft Azure Machine Learning:

  • Activities in Process Builder
  • Access tokens

Activities in Process Builder

You can use out-of-the-box activities for Microsoft Azure Machine Learning 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.

Figure: Process Activities for MS Azure Machine Learning

Process Activities for Microsoft Azure Machine Learning

The following activities are available.

  • MS Azure Machine Learning

For more information, refer to MS Azure Machine Learning activity in Process Builder:

Access Tokens

You can create access tokens for Microsoft Azure Machine Learning.

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 Token for Microsoft Azure Machine Learning.

Figure: MS Azure Machine Learning Access Token Configuration screen

Azure Machine Learning Access Token Configuration screen

Related Topics

Examples

Some information about third-party integrations is outside the scope of the AgilePoint NX Product Documentation. It is the responsibility of the vendors who create and maintain these technologies to provide this information. This includes specific business use cases and examples; explanations for third-party concepts; details about the data models and input and output data formats for third-party technologies; and various types of IDs, URL patterns, connection string formats, or other technical information that is specific to the third-party technologies. For more information, refer to Where Can I Find Information and Examples for Third-Party Integrations?

Microsoft Azure Machine Learning Documentation

Use these links to find third-party vendor documentation for Microsoft Azure Machine Learning:

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Keywords

machine learning, analytics, AI, artificial intelligence, Microsoft Azure Machine Learning, MS Azure Machine Learning