AI asset data model attributes

  • リリースバージョン: Australia
  • 更新日 2026年03月12日
  • 所要時間：7分

    • Additional attributes for the AI asset data model.

    Attributes

    AI model product model: Product Information for the AI model that is used by the AI system to generate responses without human intervention (cmdb_ai_model_product_model).

    表 : 1. AI model product model
    Attribute Description
    Model parameters info Number of parameters for the model.
    Supported languages Languages supported.
    Model size Size of the model in MB. Mostly applicable for models developed and deployed within the organization.
    Deployment guidelines Instructions applicable for models developed and deployed within the organization.
    Source Links or details of source of the model sources example: Hugging face, Microsoft, and so on.
    Training procedure Types of training
    • Decision Trees
    • Deep Neural Networks
    • Linear Regression
    • Logistic Regression
    • Random Forest
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
    • Transfer Learning
    • Semi-Supervised Learning
    • Instruction Finetuning
    • Supervised Finetuning
    Context window Size of input sequences that the model can handle (number of tokens).

    AI dataset product model: Product Information for the collection of data that is used to train and test AI models (cmdb_ai_dataset_product_model).

    表 : 2. AI dataset product model
    Attribute Description
    Data type Describes data, example: Text, Image, Video, and Table
    Source Links or details of source of the dataset sources, example: Customer, Wikipedia, Hugging face, Crowd sourced, and so on.
    Acceptable usage Acceptable usage of the data according to license / contract example: Training, and Evaluation.

    AI prompt product model: Product Information for instructions given to AI models to get a response for AI system (cmdb_ai_dataset_product_model).

    表 : 3. AI prompt product model
    Attribute Description
    Documentation Links and information about requirements, design, and related information.

    AI system product model: Product Information for software that provides ML / AI capability to generate outputs, such as decisions, recommendations, content, or predictions (cmdb_ai_system_product_model).

    表 : 4. AI system product model
    Attribute Description
    Documentation Links and information about requirements, design, and related information.
    表 : 5. Information asset
    Attribute Description
    Data classification Classification according to organization's data classification model, example: Public, confidential, and customer confidential.
    表 : 6. AI digital asset
    Attribute Description
    ServiceNow® record reference Reference to Now Assist record.
    ServiceNow® table Now Assist table.
    表 : 7. AI system digital asset
    Attribute Description
    AI models Reference to more than one associated models.
    Evaluation Dataset Reference to more than one associated datasets used for evaluation.
    Evaluation Metrics Report Details of evaluation results.
    表 : 8. AI model digital asset
    Attribute Description
    Base model This AI model version was derived from an internal model developed within the organization.
    Model weights info Additional model information if available. Mostly applicable for models developed within the organization.
    Required infrastructure Documentation of infrastructure requirements for model deployment, primarily for models deployed within an organization. Example: Infrastructure stack and processing requirements.
    Training dataset Reference to one or more associated datasets used for training the model. These datasets are mostly applicable for models developed within the organization.
    Evaluation dataset Reference to one or more associated datasets used for evaluating the model. These datatsets are mostly applicable for models developed within the organization.
    Evaluation metrics report Links or details of evaluation results
    License details Link or detail to applicable licenses applied to the model.
    Model card Links to shareable model card (Internal and external model card).
    表 : 9. AI dataset digital asset
    Attribute Description
    Base datasets

    This version of the AI dataset was derived from the previous version.
    Dataset card Information on number of records, distribution, and so on.

    Documentation for data quality and known risks and limitations.
    License details Link or detail to applicable licenses applied to the dataset, example: CommonCore, Apache 2.0,etc.
    表 : 10. AI prompt digital asset
    Attribute Description
    Prompt information Details of the prompt.
    AI model

    Reference to the AI model for which the prompt is created.