Connect Gumlet and BigML to Build Intelligent Automations
Choose a Trigger
When this happens...
New Video Uploaded
Playlist Assets Created
Collections Created
New Video Asset
List Updated Videos
Vedio Asset Created
Choose an Action
Automatically do this!
Create Anomaly Score
Create Centroid
Create Prediction
Find Resource
List Sources
List Datasets
List Sample
List Model
List Time Series
List Evaluations
List OptiMLs
List Clusters
List Anomaly Detectors
List Predictions
List Batch Predictions
List Forecasts
List Anomaly Scores
List Batch Anomaly Scores
List Topic Distributions
List Batch Topic Distributions
List Projections
List Batch Projections
List Scripts
List Executions
Ready to use Gumlet and BigML automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Video Uploaded
Triggers when a new video is uploaded
Playlist Assets Created
Trigger when new playlist assets created.
Collections Created
Trigger when new Collections created.
New Video Asset
Returns video assets that were added to a specified Gumlet collection since the last check.
List Updated Videos
Retrieves video assets from the specified Gumlet collection that were created or updated since the configured scheduled time.
Vedio Asset Created
Trigger when a Video Asset is created on Gumlet.
Do thisActions
Action is the task that follows automatically within your Gumlet integrations.
Upload video
Upload a video to your gumlet account.
Create Asset
Create a new Asset.
Update Video
Update a video's metadata and delivery settings in Gumlet — edit title, description, tags, format, image overlay, and audio/subtitle tracks.
Search Assets
Search Assets in Collections.
Create Playlist
Create Playlist in Collection.
Search playlists
Search playlists.
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Frequently Asked Questions
To start, connect both your Gumlet and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Gumlet triggers actions in BigML (or vice versa).
Absolutely. You can customize how Gumlet data is recorded in BigML. This includes choosing which data fields go into which fields of BigML, setting up custom formats, and filtering out unwanted information.
The data sync between Gumlet and BigML 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 Gumlet and BigML. 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 Gumlet
Gumlet is a powerful image and video optimization platform designed to deliver high-quality media content with minimal load times. It provides automatic resizing, compression, and delivery of images and videos, ensuring optimal performance across all devices and platforms.
Learn MoreAbout BigML
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 More
