AI Model

Column	Type	Description
Reference ID	Optional	Reference ID is the unique reference identifier for the asset. If you don't specify a reference ID, the system automatically assigns a unique value to the object. The identifier that you enter here appears in the Reference ID field on the user interface. The system uses the following format to generate a reference ID: <Prefix>-<Number> Example: ‘AI-1’, ‘DS-10’ If you specify a reference ID, ensure that the value that you enter doesn’t use the format that is used by the system to automatically generate reference IDs. Type of Entry: Alphanumeric characters, including spaces and special characters. There is no limitation on special characters to be used in names. Example: ‘BT ID-18’, ‘SYS REF:98’
Name	Required	Name for the asset. Consider entering a unique name so that you can distinguish this asset from other assets. Type of Entry: Alphanumeric characters, including spaces and special characters. There is no limitation on special characters to be used in names. Example: ‘Model 1’, ‘Model Name: 29’, ‘System Name’
Description	Optional	Definition of the asset. The description appears in the asset page. You can enter a detailed description of the asset so that users can understand how it is used in your governance context. Type of Entry: Formatted text. To add an image to the description, use the following syntax: <p><img src=""data:image/png;base64,""> <img src=""data:image/png;base64,""></p> You can add only an image of Base64 format to the description. Other image formats are not supported.
AI Model Purpose	Optional	Describe the business or technical purpose of the asset. Type of Entry: Formatted text
Architecture Type	Optional	Defines the Architecture and Algorithms of the asset. You can select one of the following options: - Linear Regression. The architecture type that computes the linear relationship between the dependent variable and other independent variables. - Logistic Regression. The architecture model that accomplishes binary classification tasks by predicting the probability of an outcome, event, or observation. - Lineage Discrimant Analysis. The architecture model that is used as a classifier and a dimensionality reduction algorithm. - Decision Trees. The architecture type that model decisions, outcomes, and predictions using a flowchart-like tree structure, commonly utilized for classification and regression tasks. - K-Nearest Neighbors. The architecture model that uses proximity to form classifications or predictions about the grouping of an individual data point. It is utilized for solving both classification and regression problems. - Naive Bayes.The architecture model that works on the principle of conditional probability used for predictive modeling and classification tasks. - Learning Vector Quantization. Learning Vector Quantization (LVQ) is an algorithm commonly used for statistical classification and pattern recognition. - Support Vector Machines. The architecture type used for linear or nonlinear classification, regression, and outlier detection tasks, where the algorithm creates a line or a hyperplane which separates the data into classes. - Others. Select Others if the required filed is not in the dropdown list.
Bias Score	Optional	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. Type of Entry: Numeric value. Enter a value between 1 and 100.
Drift Score	Optional	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. Type of Entry: Numeric value. Enter a value between 1 and 100.
Environment	Optional	Select the environment for the asset. You can select one of the following options: - Training - Validation - Production
Input	Optional	Input parameters used to build the AI Model. Type of Entry: Formatted text
Libraries	Optional	Software libraries that are used by the asset. Type of Entry: Alphanumeric characters, including spaces and special characters.
Lifecycle	Optional	Lifecycle status of the asset. The default status is Published. You can select one of the following options: - Draft. Typically used when you are creating a fresh asset. - In Review. Typically used when an asset is being reviewed by stakeholders. Note: Informatica recommends that you don't use a bulk import template to set an asset lifecycle to In Review. - Published. Typically used when an asset has been reviewed and accepted by stakeholders and is ready for use by the wider organization. - Obsolete. Typically used when a business asset is no longer in use. Once an asset is in the Obsolete status, the only other status change allowed is Published.
Model Format	Optional	Select the format in which the asset is maintained. You can select one of the following options: - Docker. Docker allows creation of an operating system bundle with deep learning environment and packaging it within a single file called a docker image. - ONNX. Open Neural Network Exchange (ONNX) is an open format that represents machine learning models, that facilitates interchanging models between various ML frameworks and tools. - Others. If none of the other formats meet your requirements, select this option.
Model Rules	Optional	Define the rules that govern the use of the asset. Type of Entry: Formatted text
Output	Optional	Result of the AI Model after it is run. Use this field to inform users of what they can expect from the model. Type of Entry: Formatted text
Source Model Repository	Optional	Repository in which the source of the asset is maintained. Type of Entry: Alphanumeric characters, including spaces and special characters.
Operation	Required	Select an operation for the asset. You can select one of the following options: - Create. You want to create the asset. - Update. You want to modify an existing asset. In this case, the Reference ID column is mandatory, along with the columns that you want to modify. For example, if you want to modify the Lifecycle of an asset, you must enter the Reference ID and Lifecycle values, but you don't need to specify values for the other fields, including the fields that are marked as mandatory. - Delete. You want to delete an existing asset. In this case, the Reference ID is the only column that is mandatory. You don't need to specify values for any field, including mandatory fields. Before you delete an asset, ensure that you have removed or deleted all associated relationships and parent-child relationships of the asset.
Stakeholder: Governance Administrator	Optional	User or user group that you want to assign as stakeholders of the asset under the Governance Administrator role. If you enter the name of the user, the user becomes a stakeholder of the asset. If you enter a user group here, all users that belong to the user group become stakeholders of the asset. You can also remove a user or user group as a stakeholder of the asset. Ensure that the users or user groups that you specify are already assigned the relevant user role. For example, to add a user as a stakeholder with the Governance Owner stakeholder role on an asset, the user must already be assigned the Governance Owner user role from the Administrator console. Type of Entry: Email address of the user, first name followed by the last name with a space in between, or last name followed by comma then the first name, without any spaces in between. To enter multiple values, use a semicolon to separate each value. Do not use a space to separate different values. If you want to add a user and a user group as the stakeholders of an asset, ensure that you enter the user names and the user group names in separate rows. To add a stakeholder, you can optionally prefix the term ADD: to the user or user group. To remove a stakeholder, you must mandatorily prefix the term DELETE: to the user or user group. Examples: To add users: “steve@yourorg.com;John Admin;Rhodes,Jane” To add users using the ADD prefix: “ADD:steve@yourorg.com;John Admin;Rhodes,Jane” To remove users using the DELETE prefix: “DELETE:steve@yourorg.com;John Admin;Rhodes,Jane”
Stakeholder: (Stakeholder role name)	Optional	User or user group that you want to assign as stakeholders of the asset under the (Stakeholder role name) stakeholder role. If you enter the name of the user, the user becomes a stakeholder of the asset. If you enter a user group here, all users that belong to the user group become stakeholders of the asset. You can also remove a user or user group as a stakeholder of the asset. Ensure that the users or user groups that you specify are already assigned the relevant user role. For example, to add a user as a stakeholder with the Governance Owner stakeholder role on an asset, the user must already be assigned the Governance Owner user role from the Administrator console. Type of Entry: Email address of the user, first name followed by the last name with a space in between, or last name followed by comma then the first name, without any spaces in between. To enter multiple values, use a semicolon to separate each value. Do not use a space to separate different values. If you want to add a user and a user group as the stakeholders of an asset, ensure that you enter the user names and the user group names in separate rows. To add a stakeholder, you can optionally prefix the term ADD: to the user or user group. To remove a stakeholder, you must mandatorily prefix the term DELETE: to the user or user group. Examples: To add users: “steve@yourorg.com;John Admin;Rhodes,Jane” To add users using the ADD prefix: “ADD:steve@yourorg.com;John Admin;Rhodes,Jane” To remove users using the DELETE prefix: “DELETE:steve@yourorg.com;John Admin;Rhodes,Jane” The template displays all the stakeholder roles that are relevant for the asset. For more information about stakeholder roles, see the Asset Management help.