Connect Google Chat and BigML to Build Intelligent Automations
Choose a Trigger
When this happens...
New Message Arrives in Google Chat Space
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 Google Chat and BigML automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Message Arrives in Google Chat Space
Runs when a new message is sent or received in a Google Chat space.
New Resource
Triggers when a new resource is created
Do thisActions
Action is the task that follows automatically within your Google Chat integrations.
Send Message
Sends a message to a specified Google Chat space.
Create a Card Message
create a card message to a specified Google Chat space.
List all Messages
Retrieve a list of messages .
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
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Frequently Asked Questions
To start, connect both your Google Chat and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Chat triggers actions in BigML (or vice versa).
Absolutely. You can customize how Google Chat 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 Google Chat 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 Google Chat 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 Google Chat
Google Chat, bringing powerful features directly to your conversations. Whether you're working in a team, managing projects, or coordinating with clients, helps you stay organized, streamline communication, and boost productivity.
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.
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