Sinch and Google Vertex AI Integration

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Analyze customer sentiment from Sinch SMS using Google Vertex AI, then automate tailored responses—all within Latenode’s visual editor. Customize logic with JavaScript and scale affordably by paying only for execution time.

Sinch + Google Vertex AI integration

Connect Sinch and Google Vertex AI in minutes with Latenode.

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Sinch

Google Vertex AI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Sinch and Google Vertex AI

Create a New Scenario to Connect Sinch and Google Vertex AI

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 Sinch, triggered by another scenario, or executed manually (for testing purposes). In most cases, Sinch or Google Vertex AI will be your first step. To do this, click "Choose an app," find Sinch or Google Vertex AI, and select the appropriate trigger to start the scenario.

Add the Sinch Node

Select the Sinch node from the app selection panel on the right.

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Configure the Sinch

Click on the Sinch node to configure it. You can modify the Sinch 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 Google Vertex AI Node

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

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Authenticate Google Vertex AI

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

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Configure the Sinch and Google Vertex AI 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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Set Up the Sinch and Google Vertex AI 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 Sinch, Google Vertex AI, 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 Sinch and Google Vertex AI integration works as expected. Depending on your setup, data should flow between Sinch and Google Vertex AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Sinch and Google Vertex AI

Sinch + Google Vertex AI + Zendesk: When a new SMS is received via Sinch, the message content is analyzed for sentiment using Google Vertex AI. If the sentiment is negative, a new support ticket is created in Zendesk.

Sinch + Google Vertex AI + Salesforce: When a new inbound SMS is received in Sinch, use Google Vertex AI to generate a summary. Then, update a lead record in Salesforce with the summary.

Sinch and Google Vertex AI integration alternatives

About Sinch

Use Sinch in Latenode to automate SMS tasks. Send messages for order updates, appointment reminders, or two-factor authentication directly from your workflows. Benefit from Latenode's visual editor to easily integrate Sinch with other apps. Scale communication tasks without complex coding or expensive per-step pricing.

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.

See how Latenode works

FAQ Sinch and Google Vertex AI

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

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

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

Can I analyze sentiment of SMS messages?

Yes, you can! Latenode allows using prompt-based AI blocks and custom JavaScript to analyze Sinch SMS messages using Google Vertex AI, automating customer feedback analysis.

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

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

  • Generate personalized SMS responses based on user input.
  • Analyze sentiment of incoming SMS messages in real-time.
  • Create AI-powered chatbots for customer service via SMS.
  • Translate SMS messages to different languages automatically.
  • Summarize SMS conversations for quick review and analysis.

CanIuseJavaScriptfunctionsforadvancedSinchautomation?

Yes, Latenode allows you to use JavaScript code blocks to add complex logic and custom functionality when automating Sinch workflows.

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

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

  • Large volumes of SMS messages may incur higher Google Vertex AI costs.
  • Real-time analysis speed depends on Google Vertex AI processing times.
  • Complex workflows require a good understanding of both apps.

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