Connect BigML and Gumlet to Build Intelligent Automations
Choose a Trigger
When this happens...
New Resource
Choose an Action
Automatically do this!
Upload video
Create Asset
Update Video
Search Assets
Create Playlist
Search playlists
Create Collection
Delete Collection
Ready to use BigML and Gumlet automations
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Automate Instagram Comment Replies with Smart DMs
- text is aiReplytoCommentSend a Private ReplyAdd Step
- Is guide commentReplytoComment GuideSend a Private Reply GuideAdd Step
- multi keyword matchcmntdqJzLMYSReplytoCommentMultiKeywordAdd Step
Automate Expense Report Approvals via Slack & QuickBooks
- Send for Approval acceptCreate Entry of expensesAdd Step
- Send for rejectMail for RejectionAdd Step
Automate Social Media Post Creation and Scheduling Across Multiple Platforms
- InstagramInstagram CaptionGenerate ImagePublish Photo with TaggingAdd Step
- YoutubeYoutube Video ScriptYoutube Description VideoCreate an Avatar VideoDelayRetrieve Shareable Link for a Video1Upload VideoAdd Step
- TwitterTwitter TweetPost a TweetAdd Step
- LinkedinLinkedin ArticleCreate a linkedin Article or URL postAdd Step
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Resource
Triggers when a new resource is created
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.
Do thisActions
Action is the task that follows automatically within your BigML integrations.
Create Anomaly Score
Calculates the anomaly score of a data instance.
Create Centroid
Find out the closest cluster to your data instance
Create Prediction
Predict using a model , logistic regression or deepnets
Find Resource
Finds a resource
List Sources
Get all the sources.
List Datasets
Get all the dataset.
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Frequently Asked Questions
To start, connect both your BigML and Gumlet accounts to viaSocket. Once connected, you can set up a workflow where an event in BigML triggers actions in Gumlet (or vice versa).
Absolutely. You can customize how BigML data is recorded in Gumlet. This includes choosing which data fields go into which fields of Gumlet, setting up custom formats, and filtering out unwanted information.
The data sync between BigML and Gumlet 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 Gumlet. 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 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 MoreAbout 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.
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