Enable Integrations or automations with these events of BigML and Adobe Acrobat
Triggers when a new resource is created
Calculates the anomaly score of a data instance.
Find out the closest cluster to your data instance
Predict using a model , logistic regression or deepnets
Finds a resource
Get all the sources.
Get all the dataset.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your BigML and Adobe Acrobat accounts to viaSocket. Once connected, you can set up a workflow where an event in BigML triggers actions in Adobe Acrobat (or vice versa).
Absolutely. You can customize how BigML data is recorded in Adobe Acrobat. This includes choosing which data fields go into which fields of Adobe Acrobat, setting up custom formats, and filtering out unwanted information.
The data sync between BigML and Adobe Acrobat 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 BigML and Adobe Acrobat. 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.
BigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.
Learn MoreAdobe Acrobat is a powerful tool for creating, editing, and managing PDF documents. It offers a wide range of features including PDF conversion, editing, electronic signatures, and collaboration tools, making it an essential tool for professionals and businesses that require efficient document management.
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