Asset Details > Understanding business assets > AI Model

AI Model

An AI model asset represents the essential parameters of an AI model. These parameters also include the environment where the model is run, the input parameters and the output data, and the business purpose and rules for the model. AI models provide insights for many activities so that you can make decisions faster and easier or provide prediction modeling.

For example, if you have a regular expression that you run on a large set of web browser clickstream data to predict an Internet user's navigation on your organization web site, you can create a business representation of this expression as an AI model in Data Governance and Catalog.

You can rate an AI Model asset to indicate your assessment of the quality of the asset, or add your comments to the asset to provide your inputs on the data present within the asset. This enables different users to collaborate on assets and make collective decisions on using the data. For more information on collaborating on an asset, see the Working with Assets help.

You can view the number of open tickets and overdue tickets. Open tickets indicate the tickets pending in progress to track changes to the AI Model. Overdue tickets indicate the tickets beyond due date that require your action. You can also view the lifecycle of the AI Model asset to know the particular stage of the lifecycle in the asset workflow.

Overview tab

On the Overview page, you can view the system and custom attributes of the AI model along with other basic information about the AI model.

The system attributes are the system-defined properties of the asset. The custom attributes are user-configured properties of the asset that allow you to specify and store specific information relevant to your assets beyond the system-defined attributes.

The following table describes the system attributes and other information about the AI model that are displayed on the Overview page:

Field	Description
Description	Functional definition of the AI model. The size of the field should not exceed 1 MB.
Reference ID	Unique reference identifier for the AI model.
AI Model Purpose	Purpose of the AI model.
Input	Data elements that represent the input parameters the AI model.
Output	Data elements that represent the output after the AI model is run.
Environment	Indicates whether the AI model belongs to the training, validation or production environment.
Drift Score	Measure of degradation of the model. A higher value indicates greater degradation. Use the drift score to determine if the model can provide results within an acceptable range of accuracy. Drift score is measured in percentage.
Bias Score	Measure of bias in the model. A higher value indicates a greater difference between the predicted result and the actual result. Use the bias score to determine if the assumptions in the model are correct. Bias score is measured in percentage.
Model Rules	Rules that govern the use of the AI model.
Architecture Type	The architecture and algorithms that are used in the AI model.
Libraries	The software libraries that are used by the AI model.
Model format	The format in which the AI model is maintained.
Source Model Repository	The repository in which the source of the AI model is maintained.
Contains	Displays all the AI models that have a direct relationship with the source AI model.
Is Part Of	Displays all the AI models that are part of the source AI model.
Stakeholders	Users responsible for the AI model or interested in the AI model.
Data Marketplace	Details of an asset's presence in Data Marketplace. If an asset is added to a data collection in Data Marketplace, you can view the details of the data collection. For more information about how you can connect Data Governance and Catalog to Data Marketplace, see the Set Up Data Marketplace help in Data Marketplace. For more information about how you can add an asset to a data collection, see the Working With Data Collections help in Data Marketplace.
Created By	User that created the AI model and the date on which the AI model was created.
Updated By	User that last updated the AI model and the date on which it was updated.

Relationships tab

On this page, you can switch between grid view or graph view to view all the relationships that the AI model has with other assets. Create relationships with other assets if they can be used together to make business or governance decisions.

The following table describes the fields that appear when you switch to the grid view on the Relationships page:

Field	Description
Name	Name of the related asset.
Type	Type of the related asset.
How It Is Related	Relationship between the assets and the AI model that you have opened. Hover the mouse over the arrows to see if the relationship is a direct, indirect, inbound or outbound. The term "this asset" refers to the AI model that is open.
Hierarchy	Hierarchical path of the asset. Note: This column is hidden by default. To display the column, right-click on the column header and select Hierarchy.

You can perform the following activities on the Relationships page:

•Click the Filters icon on the top of the page to apply filters to narrow the list of relationships. You can apply filters such as asset type to view related assets of a specific type, direction to view related assets of a particular origin, lifecycle to view assets in a particular stage of the lifecycle, relationship type to view assets that are directly or indirectly connected to the AI model, or relationship label.

The direction of the asset can be inbound or outbound. The relationship created from the AI model to the related asset is called an outbound relationship. The relationship created from the related asset to the AI model is called an inbound relationship.

•Search for a related asset using the Search box.
•Click the Add icon to add a new related asset, or the Delete icon to delete an existing related asset.

Note: You can delete only outbound direct related assets.

Relationship example

The following image shows a sample asset and the different types of relationships with other assets:

Image of a sample asset depicting the directional relationships with other assets.

In the image, the business term 'Delivery Cost' is the open asset. The Relationships tab shows the grid view of all the assets related to 'Delivery Cost'.

1The highlighted policy asset 'Gov Policy 01' is related to the open asset through an inbound relationship, which is indicated by the orange arrow pointing to the left direction. This indicates that the relationship between the business term 'Delivery Cost' and the policy 'Gov Policy 01' originated in the policy asset 'Gov Policy 01'. The relationship type 'is Regulating' indicates that the policy asset is regulating the business term.
2The highlighted system asset 'Customer Call Analysis Reports' is related to the open asset through an outbound relationship, which is indicated by the blue arrow pointing to the right direction. This indicates that the relationship between the business term 'Delivery Cost' and the system 'Customer Call Analysis Reports' originated in the business term 'Delivery Cost'. The relationship type 'is a Strategic Source for' indicates that the business term is the preferred or recommended source of data for the system asset.

Data tab

View data elements that are used in the AI model.

The following table describes the properties of the Data page:

Field	Description
Name	Name of the data element.
Type	Type of the data element.
Glossaries	Glossary assets that are associated with the data element.
Classification	Data classifications associated with the data element. For information about configuring data classification, see Administration in the Metadata Command Center help. Note: To see this information, the organization administrator must grant the View Data Classifications feature privilege to your user role in Informatica Intelligent Cloud Services Administrator. For more information about roles and users, see the Introduction and Getting Started help module.
Profiling statistics	Profiled statistics of the data element. The table displays one of the following statistics: - Null percentage - Distinct percentage - Non-distinct percentage Note: To see this information, the organization administrator must grant the View Profiled Stats feature privilege to your user role in Informatica Intelligent Cloud Services Administrator. For more information about roles and users, see the Introduction and Getting Started help module.
Source Data Type	Data type of the data element.
Inferred Data Type	Inferred data type of the data element.
Description	Description of the data element as it appears in the source system.
Path	System and data set hierarchy of the data element.

On this page, you can search for a specific data element, click the Add icon to add a new data element to the AI model, or click the Delete icon to remove a specific data element from the AI model. You can also use filters to narrow the list of data elements.

Stakeholders tab

View users that have been designated as stakeholders for the AI model. Stakeholders are authorized users who are responsible for the model, and can approve or reject change requests for the model.

The following table describes the properties of the Stakeholders page:

Field	Description
Name	Name of the user or user group.
Role	Role of the user or user group in the organization.
Email	Email address of the user. Note: This property does not appear for user groups.
User Origin	The origin of the users. For example, when a user logs in using SSO, the value for this field is displayed as SAML.

If your role has permissions, you can add or remove stakeholders on this page. You can also use filters to narrow your search for stakeholders.

Tickets tab

View change request tickets that users have created for the AI model.

The following table describes the properties of the Tickets page:

Field	Description
Name	Name of the ticket.
Description	Description of the ticket.
Type	Type of ticket.
Created On	Date on which the ticket was created.
Created By	User that created the ticket.
Status	Status of the change ticket.

You can filter the list of tickets by selecting available filters options.

History tab

View changes that users have made to the AI model. The History page provides an audit log that you can use for compliance requirements.

The following table describes the properties of the History page:

Field	Description
Date	Displays the created and last updated dates of the asset.
Event Type	Displays the type of the event that is performed on the asset: - Asset. Displays changes in the name, description, certification, or the reference ID of the asset. - Relationship. Displays additions, deletions, and the updates of the relationships between the assets. - Stakeholder. Displays additions and deletions of stakeholders to the asset.
Action	Displays the following actions that are performed on the asset: - Create. Displayed if the asset is created. - Updated. Displayed if the asset is updated. - Deleted. Displayed if the asset is deleted.
Current Attributes	Displays the recently changed attributes of the asset.
Previous Attributes	Displays the earlier attributes of the asset.
Changed By	Displays the user who has performed any action on the asset.
Asset Name	Displays the name of the asset.
Asset Path	Displays the origin path of the asset.
Asset Type	Displays the type of the asset.
From Asset Type	Displays the source asset type for which the change is applicable. This is applicable when the event type is Relationship.
To Asset Type	Displays the target asset type for which the change is applicable. This is applicable when the event type is Relationship.