Google Vertex AI and Wave Integration

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Automatically generate personalized invoice reminders using AI. Connect Google Vertex AI to Wave in Latenode for smart payment follow-ups, leveraging flexible API integration and cutting costs with pay-by-execution pricing.

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Google Vertex AI

Wave

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Vertex AI and Wave

Create a New Scenario to Connect Google Vertex AI and Wave

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Vertex AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Vertex AI or Wave will be your first step. To do this, click "Choose an app," find Google Vertex AI or Wave, and select the appropriate trigger to start the scenario.

Add the Google Vertex AI Node

Select the Google Vertex AI node from the app selection panel on the right.

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Google Vertex AI

Configure the Google Vertex AI

Click on the Google Vertex AI node to configure it. You can modify the Google Vertex AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the Wave Node

Next, click the plus (+) icon on the Google Vertex AI node, select Wave from the list of available apps, and choose the action you need from the list of nodes within Wave.

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Authenticate Wave

Now, click the Wave node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Wave settings. Authentication allows you to use Wave through Latenode.

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Configure the Google Vertex AI and Wave Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the Google Vertex AI and Wave Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Google Vertex AI, Wave, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Google Vertex AI and Wave integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Wave (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Google Vertex AI and Wave

Wave + Google Vertex AI + Slack: When a new invoice is created in Wave, the data is sent to Google Vertex AI to analyze customer feedback. If negative sentiment regarding billing is detected, a notification is sent to a designated Slack channel to alert the billing team.

Wave + Google Vertex AI + Google Sheets: When a Wave invoice is paid, Google Vertex AI categorizes the transaction details. This categorized data is then logged into a Google Sheets spreadsheet for record-keeping and analysis.

Google Vertex AI and Wave integration alternatives

About Google Vertex AI

Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.

About Wave

Use Wave in Latenode to automate payment reminders and subscription management. Connect Wave to your CRM or database to trigger personalized emails or SMS based on payment status. Latenode’s visual editor makes it simple to build complex billing workflows and handle edge cases without code, ensuring timely payments and reducing churn.

See how Latenode works

FAQ Google Vertex AI and Wave

How can I connect my Google Vertex AI account to Wave using Latenode?

To connect your Google Vertex AI account to Wave on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Google Vertex AI and click on "Connect".
  • Authenticate your Google Vertex AI and Wave accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automate invoice generation based on AI-analyzed project data?

Yes, you can! Latenode lets you trigger Wave invoice creation based on Google Vertex AI's analysis of project data. Automate tedious tasks and ensure accurate, timely billing.

What types of tasks can I perform by integrating Google Vertex AI with Wave?

Integrating Google Vertex AI with Wave allows you to perform various tasks, including:

  • Automatically creating Wave invoices from Google Vertex AI's project summaries.
  • Updating Wave customer details based on insights from Google Vertex AI analysis.
  • Generating personalized payment reminders using Google Vertex AI's language models.
  • Analyzing Wave transaction data with Google Vertex AI for fraud detection.
  • Creating tailored Wave reports using Google Vertex AI's data processing capabilities.

What Google Vertex AI data can I access through Latenode?

Latenode provides access to Google Vertex AI's predictions, models, datasets and other resources, allowing complex workflows.

Are there any limitations to the Google Vertex AI and Wave integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Real-time data synchronization may be subject to API rate limits.
  • Complex Google Vertex AI models require sufficient Latenode processing resources.
  • Initial setup requires familiarity with both Google Vertex AI and Wave APIs.

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