IntegrationsChatBotKitBigML
ChatBotKit + BigML

Connect ChatBotKit and BigML to Build Intelligent Automations

Choose a Trigger

ChatBotKit

When this happens...

Choose an Action

BigML

Automatically do this!

Ready to use ChatBotKit and BigML automations

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Resource

New Resource

Triggers when a new resource is created

Request a new Trigger for ChatBotKit

Do thisActions

Action is the task that follows automatically within your ChatBotKit integrations.

Create Record

Create Record

Creates a ne record

Create Conversation

Create Conversation

Creates a new conversation

Create Anomaly Score

Create Anomaly Score

Calculates the anomaly score of a data instance.

Create Centroid

Create Centroid

Find out the closest cluster to your data instance

Create Prediction

Create Prediction

Predict using a model , logistic regression or deepnets

Find Resource

Find Resource

Finds a resource

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Frequently Asked Questions

How do I start an integration between ChatBotKit and BigML?

To start, connect both your ChatBotKit and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in ChatBotKit triggers actions in BigML (or vice versa).

Can we customize how data from ChatBotKit is recorded in BigML?

Absolutely. You can customize how ChatBotKit 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.

How often does the data sync between ChatBotKit and BigML?

The data sync between ChatBotKit and BigML typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from ChatBotKit to BigML?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between ChatBotKit and BigML?

Yes, you can set conditional logic to control the flow of data between ChatBotKit 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.

ChatBotKit

About ChatBotKit

ChatBotKit is a comprehensive platform designed to help businesses and developers create, manage, and deploy chatbots with ease. It offers a range of tools and features to build intelligent conversational agents that can enhance customer interaction and automate support tasks.

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BigML

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.

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