---
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title: Bring Your Own Model
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/data/264-0-0/c360_a_bring_your_own_model.md
canonical_url: https://help.salesforce.com/s/articleView?id=data.c360_a_bring_your_own_model.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 0f5a85f1639728b783ef2bb487f552f39bbe4da2350e780efa8a868f90cce1ac
description: Bring Your Own Model (BYOM) lets you connect models built in external platforms with Data 360. BYOM provides direct access to Salesforce data in external ML platforms and uses a zero-copy approach, which eliminates the need to duplicate data. After you connect a model, you can easily consume predictions. Creating, training, and deploying models requires coding expertise for setup in the external platform, but connecting the models to Salesforce is simple.
products:
  - Data 360
release: "264"
---
# Bring Your Own Model

Bring Your Own Model (BYOM) lets you connect models built in external platforms with Data 360. BYOM provides direct access to Salesforce data in external ML platforms and uses a zero-copy approach, which eliminates the need to duplicate data. After you connect a model, you can easily consume predictions. Creating, training, and deploying models requires coding expertise for setup in the external platform, but connecting the models to Salesforce is simple.

### Required Editions

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small edition"><colgroup><col></colgroup><tbody><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;">Available in: <strong>All Editions</strong> supported by Data 360. See <a href="https://help.salesforce.com/s/articleView?id=data.c360_a_dc_editions.htm&amp;language=en_US" target="_blank">Data 360 edition availability</a>.</td></tr></tbody></table>

- **[Use Amazon SageMaker Models](https://help.salesforce.com/s/articleView?id=data.c360_a_use_aws_sagemaker_models.htm&release=264.0.0&type=5)**  
    You can build, train, and deploy custom machine learning (ML) models with Amazon SageMaker and data in Salesforce. After registering a model in SageMaker, define your prediction criteria and connect the model with Data 360 to get predictions and insights for your use case. Use the insights to enrich customer profiles, create segments, and personalize experiences across various channels.
- **[Use Google Cloud Vertex AI Models](https://help.salesforce.com/s/articleView?id=data.c360_a_ai_byom_use_google_vertex_models.htm&release=264.0.0&type=5)**  
    You can build, train, and deploy sophisticated custom machine learning (ML) models with Google Cloud Vertex AI and data in Salesforce. After registering a model in Vertex AI, define your prediction criteria and connect the model with Data 360 to get predictions and insights for your use case. Use the insights to enrich customer profiles, create segments, and customize experiences across various channels.
- **[Use Databricks Models](https://help.salesforce.com/s/articleView?id=data.c360_a_ai_byom_use_databricks_models.htm&release=264.0.0&type=5)**  
    You can build, train, and deploy custom machine learning models with Databricks and data in Salesforce. After registering a model in Databricks, define your prediction criteria and connect the model with Data 360 to get predictions and insights for your use case. Use the insights to enrich customer profiles, create segments, and personalize experiences across various channels.
- **[Model Endpoint Formats](https://help.salesforce.com/s/articleView?id=data.c360_a_ai_byom_connect_your_external_model_endpoint.htm&release=264.0.0&type=5)**  
    To connect a predictive model and get inferences, you must use the relevant endpoint request and response formats.

#### See Also

- [_Knowledge Article_: Salesforce Core Services - IP Addresses and Domains to Allow](https://help.salesforce.com/s/articleView?id=000384438&type=1&language=en_US)