---
sourceDocument: Australia Enable AI
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/pt-BR/intelligent-experiences

 Release :

    - australia

ft:locale :

    - pt-BR

ft:publication_title :

    - Australia Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# AI asset data model attributes

# AI asset data model attributes {#ariaid-title1}

* Versão de lançamento: Australia
* 
* Atualizado 12 de mar. de 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 min. de leitura

Additional attributes for the AI asset data model.

## Attributes {#ai-asset-data-model-attributes__section_iqn_zqk_t2c}

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).  
{#ai-asset-data-model-attributes__table_cxz_jsk_t2c__entry__2}

| 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 {#ai-asset-data-model-attributes__ul_qhk_rc1_1fc} |
| Context window | Size of input sequences that the model can handle (number of tokens). |
[Tabela 1. AI model product model]

{#ai-asset-data-model-attributes__table_cxz_jsk_t2c}

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).
{#ai-asset-data-model-attributes__table_fbq_rsk_t2c__entry__2}

| 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. |
[Tabela 2. AI dataset product model]

{#ai-asset-data-model-attributes__table_fbq_rsk_t2c}

AI prompt product model: Product Information for instructions given to AI models to get a response for AI system (cmdb_ai_dataset_product_model).
{#ai-asset-data-model-attributes__table_kpg_wtk_t2c__entry__2}

| Attribute | Description |
|-|-|
| Documentation | Links and information about requirements, design, and related information. |
[Tabela 3. AI prompt product model]

{#ai-asset-data-model-attributes__table_kpg_wtk_t2c}

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).
{#ai-asset-data-model-attributes__table_wnh_b5k_t2c__entry__2}

| Attribute | Description |
|-|-|
| Documentation | Links and information about requirements, design, and related information. |
[Tabela 4. AI system product model]

{#ai-asset-data-model-attributes__table_wnh_b5k_t2c} {#ai-asset-data-model-attributes__table_q53_swk_t2c__entry__2}

| Attribute | Description |
|-|-|
| Data classification | Classification according to organization's data classification model, example: Public, confidential, and customer confidential. |
[Tabela 5. Information asset]

{#ai-asset-data-model-attributes__table_q53_swk_t2c} {#ai-asset-data-model-attributes__table_a3v_vxk_t2c__entry__2}

| Attribute | Description |
|-|-|
| ServiceNow® record reference | Reference to Now Assist record. |
| ServiceNow® table | Now Assist table. |
[Tabela 6. AI digital asset]

{#ai-asset-data-model-attributes__table_a3v_vxk_t2c} {#ai-asset-data-model-attributes__table_ll2_4yk_t2c__entry__2}

| 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. |
[Tabela 7. AI system digital asset]

{#ai-asset-data-model-attributes__table_ll2_4yk_t2c} {#ai-asset-data-model-attributes__table_dsn_xyk_t2c__entry__2}

| 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). |
[Tabela 8. AI model digital asset]

{#ai-asset-data-model-attributes__table_dsn_xyk_t2c} {#ai-asset-data-model-attributes__table_jqn_pzk_t2c__entry__2}

| 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. |
[Tabela 9. AI dataset digital asset]

{#ai-asset-data-model-attributes__table_jqn_pzk_t2c} {#ai-asset-data-model-attributes__table_vjj_xbl_t2c__entry__2}

| Attribute | Description |
|-|-|
| Prompt information | Details of the prompt. |
| AI model | Reference to the AI model for which the prompt is created. |
[Tabela 10. AI prompt digital asset]

{#ai-asset-data-model-attributes__table_vjj_xbl_t2c}