
When this happens...
Automatically do this!
Enable Integrations or automations with these events of Scale and edX: MicroMasters Program in Artificial Intelligence
Retrieve all the tasks for given project.
Create a new batch in a project to group related tasks for processing.
Pause processing of an in-progress Batch. Only unstarted tasks will be paused.
Resume processing of a paused Batch. Previously paused tasks will be resumed.
Mark a Scale batch as complete so no new tasks can be added.
Cancel processing of a Batch. Unstarted tasks will be cancelled. Completed batches cannot be cancelled.

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To start, connect both your Scale and edX: MicroMasters Program in Artificial Intelligence accounts to viaSocket. Once connected, you can set up a workflow where an event in Scale triggers actions in edX: MicroMasters Program in Artificial Intelligence (or vice versa).
Absolutely. You can customize how Scale data is recorded in edX: MicroMasters Program in Artificial Intelligence. This includes choosing which data fields go into which fields of edX: MicroMasters Program in Artificial Intelligence, setting up custom formats, and filtering out unwanted information.
The data sync between Scale and edX: MicroMasters Program in Artificial Intelligence 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 Scale and edX: MicroMasters Program in Artificial Intelligence. 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.
Scale provides advanced AI-driven solutions for data labeling and annotation, helping businesses streamline their machine learning workflows.
Learn MoreGain in-depth expertise in Artificial Intelligence with edX’s MicroMasters Program. This program covers key AI domains such as machine learning, robotics, computer vision, and natural language processing, designed to advance your career in technology and research.
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