Capture AI feature data
The license package Enterprise Portfolio Management is required to work with AI features. The use case AI Portfolio Management must be activated.
An AI feature is a business instantiation of an AI technology to support an AI use case. It is provided by a business application. The AI feature Answering Support Questions needs AI technologies such as Text Classification, Machine Translation, and Question Answering that would then be enriched with business context and data.
- Go to AI Portfolio Management > AI Features and click New > AI Feature. Define a unique name and basic attributes and click OK.
Per default, the data workbench displays only a set of basic attributes. You can add more columns to capture other attributes directly in the data workbench or you can navigate to an AI feature's content area and define it in more detail there.
- Specify data in the data workbench or click the Navigate
button next to an AI feature to open its content area. Specify the AI feature's attributes as well as the relationships that the AI feature has to other assets in the repository.
Try to capture as much information as possible about the AI feature because complete data considerably improves the results of business questions and other analytics.
Go to the AI feature's content area > Overview.
Define the AI feature's basic data. All mandatory fields must be defined to create the AI feature and save it.
- Name: (Mandatory) Enter a unique name for the AI feature. The name should help others easily understand the purpose of the AI feature.
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Status: This is an approval status. The associated AI use case should only be set to Approved when the statuses of the associated AI features are approved.
- Draft: The AI feature has only mandatory data defined.
- Under Review: The AI feature is documented and being reviewed.
- Approved: The AI feature has been approved by the responsible stakeholders.
- Declined: The AI feature has not been approved.
- Retired: The AI feature is no longer valid.
- AI Risk Level: Specify the level of the risk if the AI feature were enabled. The risk level of each AI feature will contribute to the overall risk level of the AI use case and whether it will be approved or not.
- Is Enabled: Specify whether the AI feature is enabled for the applications that provide it.
- AI Use Case: Specify the AI use cases that the AI feature belongs to. The use case describes the larger aim of the AI feature. This is typically done after AI use cases are already added to the repository.
- Description: Enter a meaningful description that will clarify the purpose of the AI feature.
Specify which applications and technologies provide the AI feature. Specify the application that provides the AI feature in the Additional Details > Providing Application field. In the Providing Component field, specify the component that supports the application providing the AI feature.
Specify the locations where the AI feature is/is not allowed. Specify the locations where the AI feature is permissible in the Geographic Limitations > Allowed Locations field. Specify where the AI feature may not be used in the Disallowed Locations field.
Specify the AI model that the AI feature is based on. Typically, this is done once your AI models are already added to the repository . Go to the Additional Details > Enabling AI Model field and specify the relevant AI model.
Specify the AI technologies that the AI feature offers. Typically, this is done once your AI technologies are added to the repository . Go to the Additional Details > Enabling AI Technologies field and specify the relevant AI technologies.