Connect ClosedLoop AI and Microsoft Azure Functions to Build Intelligent Automations
Enable Integrations or automations with these events of ClosedLoop AI and Microsoft Azure Functions
Enable Integrations or automations with these events of ClosedLoop AI and Microsoft Azure Functions
Triggers
New Product Insight Generated
Runs when new product insight is generated
Actions
Ingest Feedback
Send customer feedback from any source to extract product insights.
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Frequently Asked Questions
To start, connect both your ClosedLoop AI and Microsoft Azure Functions accounts to viaSocket. Once connected, you can set up a workflow where an event in ClosedLoop AI triggers actions in Microsoft Azure Functions (or vice versa).
Absolutely. You can customize how ClosedLoop AI data is recorded in Microsoft Azure Functions. This includes choosing which data fields go into which fields of Microsoft Azure Functions, setting up custom formats, and filtering out unwanted information.
The data sync between ClosedLoop AI and Microsoft Azure Functions 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 ClosedLoop AI and Microsoft Azure Functions. 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 ClosedLoop AI
ClosedLoop AI offers advanced AI solutions tailored for healthcare analytics, enabling organizations to leverage data-driven insights for improved patient outcomes and operational efficiency.
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About Microsoft Azure Functions
Microsoft Azure Functions is a serverless computing service that enables developers to run event-driven code without having to explicitly provision or manage infrastructure. It allows for the execution of code in response to various triggers, such as HTTP requests, database changes, or message queue events, making it ideal for building scalable and efficient applications.
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