Google Vertex AI and Canny Integration

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Analyze Canny feedback with Google Vertex AI to identify key user pain points, and then automatically tag and prioritize feature requests. Latenode's visual editor and affordable execution costs make this process simple and scalable.

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Google Vertex AI

Canny

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Vertex AI and Canny

Create a New Scenario to Connect Google Vertex AI and Canny

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 Canny will be your first step. To do this, click "Choose an app," find Google Vertex AI or Canny, 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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Add the Canny Node

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

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Authenticate Canny

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

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Configure the Google Vertex AI and Canny 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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Canny Oauth 2.0

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Set Up the Google Vertex AI and Canny 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, Canny, 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 Canny integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Canny (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 Canny

Canny + Google Vertex AI + Slack: When a new comment is added to a Canny post, analyze the comment's sentiment using Google Vertex AI and post a summary of the sentiment analysis in a dedicated Slack channel.

Canny + Google Vertex AI + Google Sheets: When a new post is created in Canny, use Google Vertex AI to categorize the feedback and log the post details, AI-generated categories, and sentiment analysis in a Google Sheet.

Google Vertex AI and Canny 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 Canny

Integrate Canny with Latenode to automate feedback management. Capture user suggestions and bug reports directly, then route them to the right teams. Use AI to categorize input, update task trackers, and notify users of progress, automating the feedback loop and improving responsiveness.

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FAQ Google Vertex AI and Canny

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

To connect your Google Vertex AI account to Canny 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 Canny accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically analyze user feedback from Canny using Vertex AI?

Yes, you can! Latenode's visual editor lets you trigger Vertex AI analysis upon new Canny feedback. Gain insights to prioritize feature requests and improve product development.

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

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

  • Automatically tag new Canny posts with sentiment analysis results.
  • Summarize feature requests from Canny using Vertex AI's text generation.
  • Predict user satisfaction scores based on feedback content.
  • Route urgent feedback to specific teams based on AI-determined priority.
  • Create automated responses based on recurring feedback themes.

How do I manage Google Vertex AI credentials in Latenode?

Latenode securely stores your Vertex AI credentials. Use environment variables to manage and protect your API keys efficiently.

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

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

  • Rate limits from both Google Vertex AI and Canny apply.
  • Complex data transformations may require JavaScript knowledge.
  • Initial setup requires familiarity with both platforms’ APIs.

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