Connect Worksection and DataRobot to Build Intelligent Automations
Enable Integrations or automations with these events of Worksection and DataRobot
Enable Integrations or automations with these events of Worksection and DataRobot
Triggers
New Project
Triggers when a new project is created.
New Project Task
Retrieve tasks created within a recent time window for the selected project.
New Comment in Task
Detects new comments added to a selected task in a project and returns their details.
Task Completed in Project
Return tasks from the selected project that were marked done within the specified recent time period.
Actions
Create Project
Adds a new project into your account.
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Frequently Asked Questions
To start, connect both your Worksection and DataRobot accounts to viaSocket. Once connected, you can set up a workflow where an event in Worksection triggers actions in DataRobot (or vice versa).
Absolutely. You can customize how Worksection data is recorded in DataRobot. This includes choosing which data fields go into which fields of DataRobot, setting up custom formats, and filtering out unwanted information.
The data sync between Worksection and DataRobot 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 Worksection and DataRobot. 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 Worksection
Worksection is project management tool. We help to manage projects, teams, communicate effectively, and control tasks online.
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About DataRobot
DataRobot is a leading AI platform that enables organizations to harness the power of machine learning and artificial intelligence to drive business insights and decision-making. It offers automated machine learning capabilities, allowing users to build, deploy, and manage AI models efficiently.
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