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Use RingCentral call data to train Google Vertex AI models, improving agent performance analysis. Latenode's visual editor makes complex AI integrations simple, and pay-per-use pricing ensures cost-effective scaling.
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Create a New Scenario to Connect RingCentral 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 RingCentral, triggered by another scenario, or executed manually (for testing purposes). In most cases, RingCentral or Google Vertex AI will be your first step. To do this, click "Choose an app," find RingCentral or Google Vertex AI, and select the appropriate trigger to start the scenario.
Add the RingCentral Node
Select the RingCentral node from the app selection panel on the right.
RingCentral
Configure the RingCentral
Click on the RingCentral node to configure it. You can modify the RingCentral URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Vertex AI Node
Next, click the plus (+) icon on the RingCentral 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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Google Vertex AI
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.
Configure the RingCentral 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.
Set Up the RingCentral and Google Vertex AI Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Google Vertex AI
Trigger on Webhook
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RingCentral
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring RingCentral, 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 RingCentral and Google Vertex AI integration works as expected. Depending on your setup, data should flow between RingCentral and Google Vertex AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
RingCentral + Google Vertex AI + Salesforce: When a new call recording is available in RingCentral, the audio file is analyzed by Google Vertex AI (Gemini) to determine the sentiment. The sentiment score is then used to update the corresponding lead's record in Salesforce.
RingCentral + Google Vertex AI + Google Sheets: When a call ends in RingCentral, the call data (duration, participants, etc.) and the call recording are sent to Google Vertex AI (Gemini) to create a summary. This summary, along with the call data, is then logged into a Google Sheet for review.
About RingCentral
Integrate RingCentral with Latenode to automate call logging, SMS alerts, and contact management. Trigger workflows based on call events, automatically updating records in other apps like CRMs or support tools. Use Latenode's visual editor and scripting nodes for customized call handling and data synchronization.
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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.
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How can I connect my RingCentral account to Google Vertex AI using Latenode?
To connect your RingCentral account to Google Vertex AI on Latenode, follow these steps:
Can I analyze call transcripts using Vertex AI models?
Yes, you can easily analyze RingCentral call transcripts using Vertex AI’s advanced AI models. Latenode allows seamless data transfer for sentiment analysis and topic extraction, improving call center efficiency.
What types of tasks can I perform by integrating RingCentral with Google Vertex AI?
Integrating RingCentral with Google Vertex AI allows you to perform various tasks, including:
How secure is my RingCentral data when using Latenode?
Latenode employs robust encryption and security protocols to protect your RingCentral data during integration and workflow execution. Your data is handled with utmost care.
Are there any limitations to the RingCentral and Google Vertex AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: