Connect ORCID and Google Vertex AI to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for ORCID
Choose an Action
Automatically do this!
- Request a new Action for Google Vertex AI
Enable Integrations or automations with these events of ORCID and Google Vertex AI
Enable Integrations or automations with these events of ORCID and Google Vertex AI
Actions
Get User Information
Get User Information.
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- text is aiReplytoCommentSend a Private ReplyAdd Step
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- multi keyword matchcmntdqJzLMYSReplytoCommentMultiKeywordAdd Step
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- Send for Approval acceptCreate Entry of expensesAdd Step
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Automate Instagram DM Replies, Reactions, and Team Alerts
- has responseSendDMMessageAdd Step
- Notify teamSendMailAdd Step
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Frequently Asked Questions
To start, connect both your ORCID and Google Vertex AI accounts to viaSocket. Once connected, you can set up a workflow where an event in ORCID triggers actions in Google Vertex AI (or vice versa).
Absolutely. You can customize how ORCID 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 ORCID 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 ORCID 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 ORCID
ORCID provides a unique identifier for researchers and scholars, enabling them to manage their professional information and track their research outputs across various platforms.
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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