Connect Webex and Roboflow to Build Intelligent Automations
Enable Integrations or automations with these events of Webex and Roboflow
Enable Integrations or automations with these events of Webex and Roboflow
Actions
Create Contact List
Creates a new contact list in Webex Interact.
List Senders
Show the list of senders available in Webex Interact.
Delete List
Deletes a contact list from Webex Interact.
Create Shortlink
Creates a shortlink that redirects to a web page and can track clicks and add tags.
Compute CLIP Similarity
Compute how closely an image matches a text prompt using Roboflow's CLIP model.
Create Classification Prediction
Generate class predictions for an image.
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Frequently Asked Questions
To start, connect both your Webex and Roboflow accounts to viaSocket. Once connected, you can set up a workflow where an event in Webex triggers actions in Roboflow (or vice versa).
Absolutely. You can customize how Webex data is recorded in Roboflow. This includes choosing which data fields go into which fields of Roboflow, setting up custom formats, and filtering out unwanted information.
The data sync between Webex and Roboflow 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 Webex and Roboflow. 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 Webex
Multi-channel messaging platform for businesses that supports SMS and WhatsApp campaigns, templates, two-way messaging and real-time reporting. Provides developer-friendly REST APIs, shortlinks, scheduling and campaign automation for transactional and marketing communication.
Learn MoreAbout Roboflow
Roboflow is a leading platform for computer vision and AI model development, offering tools to streamline the process of building, training, and deploying machine learning models.
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