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title: Use Google Cloud Vertex AI Models
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portal_url: https://docs.salesforce.com/admin/current/en-us/data/264-0-0/c360_a_ai_byom_use_google_vertex_models.md
canonical_url: https://help.salesforce.com/s/articleView?id=data.c360_a_ai_byom_use_google_vertex_models.htm&release=264.0.0&type=5
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description: 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.
products:
  - Data 360
release: "264"
---
# Use Google Cloud Vertex AI Models

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.

### 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: Developer, Enterprise, Performance, and Unlimited editions.</td></tr></tbody></table>

Here are some benefits of using Vertex AI models with Salesforce data.

- Access highly curated, harmonized, and near real-time data across Customer 360. This capability leads to expert models that deliver more intelligent predictions.
- Build models in Vertex AI and easily connect them with Data 360 to consume predictive insights for business process optimization. Use cases include propensity to buy, lead conversion, product interest, and more.
- Operationalize models and inferences easily in Salesforce.Data 360 simplifies the consumption of results from business processes and drives value.
- Eliminate tedious, costly, and error-prone Extract, Transform, and Load (ETL) jobs from Google Cloud because of the zero-copy approach to data. This approach also improves efficiencies for businesses.
- Integrate Vertex AI models and get predictions in Salesforce. Use Flow, a workflow automation suite, to enable AI-driven decision-making that can evolve based on real-time updates to data.

To use a Vertex AI model with Salesforce:

- Access your Data 360 data in Vertex AI to build, train, and deploy a model.
- Connect your Vertex AI model in Data 360 to consume the inferences for predictions and insights in various workflows across Salesforce.

![Data flow between a Vertex AI Model and Data 360](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-data-data_cloud-264-0-0-production-enus/f3569962-3c9b-4f83-9d0c-b6a574e785da/data_cloud/images/c360_a_ai_byom_google_data_flow.png)

- **[Set Up Your Data in Vertex AI](https://help.salesforce.com/s/articleView?id=data.c360_a_ai_byom_set_up_your_data_google_vertex.htm&release=264.0.0&type=5)**  
    Access Salesforce data in a Google Cloud Vertex AI notebook using a Python connector. The user-friendly interface lets you quickly query your data in Data 360 so you can extract the data that you need into Python.
- **[Connect a Vertex AI Model](https://help.salesforce.com/s/articleView?id=data.c360_a_ai_byom_connect_your_external_model_google_vertex.htm&release=264.0.0&type=5)**  
    To consume predictions from a Vertex AI model in Salesforce, connect it with Data 360 and define the prediction criteria for your use case.

#### See Also

- [_External_: Bring your own Google Vertex AI Models to Data Cloud](https://developer.salesforce.com/blogs/2023/11/bring-your-google-vertex-ai-models-to-data-cloud)