---
sourceDocument: Australia Enterprise Architecture (formerly Application Portfolio Management)
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/pt-BR/application-portfolio-management

 Release :

    - australia

ft:locale :

    - pt-BR

ft:publication_title :

    - Australia Enterprise Architecture (formerly Application Portfolio Management)

ft:clusterId :

    - appportman

bundleId :

    - appportman

workflow :

    - Technology


---

# Predictive Intelligence

# Train the similarity solution for Enterprise Architecture to categorize applications while registering {#ariaid-title1}

* Versão de lançamento: Australia
* 
* Atualizado 12 de mar. de 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 min. de leitura

Train the business application similarity definition included within the Predictive Intelligence for Enterprise Architecture to suggest a category for a business application when it
is being registered or on-boarded.

## Antes de Iniciar

Ensure that the Enterprise Architecture -- Predictive Intelligence plugin
(com.snc.apm.predictive_intelligence) is activated.
Role required: ml_admin

## Procedimento

1. Navigate to AllPredictive IntelligenceSimilaritySolution Definitions.
2. In the Similarity Definitions \[ML view\], click the Business Application Similarity (ml_sn_sn_apm_ml_global_ba_similarity) label.
3. On the Similarity Definition Business Application Similarity \[ML view\] form, verify the default values for business application similarity.  
   For more information on the Similarity Definition form fields, see [Create and train a similarity solution](https://www.servicenow.com/docs/access?context=create-similarity-solution&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US).  
   Nota:  
   Set the application scope to Enterprise Architecture -- Predictive Intelligence to edit the form. Click the word here at the end of the warning message that appears.
   {#similarity-solution-apm__table_ak1_zww_4lb__entry__2}

   | Field | Definition |
   |-|-|
   | Label | Unique name for your similarity definition. |
   | Word Corpus | Collection of words and phrases related to the name and description of the business application that functions as the vocabulary the system uses to compare your instance records based on their textual similarity. |
   | Processing Language | Dominant language of the dataset that you are training on the solution definition. If the dataset language is Italian, choose Italian. Nota: English processing is applied to all datasets by default. |
   | Stopwords | Existing word corpus that is relevant to your solution. You can also add stopwords to the list, for example, words like Application. |
   | Training Frequency | Option to retrain from once daily or every 30 days in three months increments up to 180 days. |
   | Update Frequency | Frequency at which you want to refresh the data you use to retrieve your similarity results. |
   [Tabela 1. Similarity Definition form]

   {#similarity-solution-apm__table_ak1_zww_4lb}
4. Click Update \& Retrain.

## O que Fazer Depois

You can create a similarity solution with words and phrases related to the name and description of the business application that triggers a prediction. You can also set a training frequency for your machine-learning solution to
collect and compare existing records with new records for a similarity definition.

Use the similarity solution to categorize an application while it is on-boarded.