Connect Rows and Google Vertex AI to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Rows
Choose an Action
Automatically do this!
- Request a new Action for Google Vertex AI
Enable Integrations or automations with these events of Rows and Google Vertex AI
Enable Integrations or automations with these events of Rows and Google Vertex AI
Actions
Create Row
Add a new row with the provided values to the selected table in a Rows spreadsheet.
Create Table
Creates a new table with the specified name on the selected page of a spreadsheet.
Delete Table
Removes the selected table from the specified spreadsheet.
Rename Table
Renames the selected table in a spreadsheet to the provided new name.
Create Spreadsheet Page
Creates a new page (tab) inside the selected spreadsheet using the provided page name.
Delete Spreadsheet Page
Permanently delete a page (tab) from a specified spreadsheet.
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- Send for Approval acceptCreate Entry of expensesAdd Step
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Frequently Asked Questions
To start, connect both your Rows and Google Vertex AI accounts to viaSocket. Once connected, you can set up a workflow where an event in Rows triggers actions in Google Vertex AI (or vice versa).
Absolutely. You can customize how Rows data is recorded in Google Vertex AI. This includes choosing which data fields go into which fields of Google Vertex AI, setting up custom formats, and filtering out unwanted information.
The data sync between Rows and Google Vertex AI typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Rows and Google Vertex AI. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Rows
Rows is a powerful online spreadsheet tool designed to enhance productivity and collaboration. It offers advanced features for data analysis, automation, and integration with various apps and services.
Learn MoreAbout Google Vertex AI
Build, deploy, and scale machine learning (ML) models, with fully managed ML tools for any use case, with Vertex AI.
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