Connect AI/ML API and SAS Healthcare to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for AI/ML API
Choose an Action
Automatically do this!
- Request a new Action for SAS Healthcare
Enable Integrations or automations with these events of AI/ML API and SAS Healthcare
Enable Integrations or automations with these events of AI/ML API and SAS Healthcare
Actions
Create Chat Completion
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.
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Frequently Asked Questions
To start, connect both your AI/ML API and SAS Healthcare accounts to viaSocket. Once connected, you can set up a workflow where an event in AI/ML API triggers actions in SAS Healthcare (or vice versa).
Absolutely. You can customize how AI/ML API data is recorded in SAS Healthcare. This includes choosing which data fields go into which fields of SAS Healthcare, setting up custom formats, and filtering out unwanted information.
The data sync between AI/ML API and SAS Healthcare 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 AI/ML API and SAS Healthcare. 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 AI/ML API
AI/ML API provides advanced artificial intelligence and machine learning capabilities to developers and businesses, enabling them to integrate intelligent features into their applications. With a wide range of AI models and tools, users can enhance their software with capabilities such as natural language processing, image recognition, predictive analytics, and more.
Learn MoreAbout SAS Healthcare
SAS Healthcare provides advanced analytics, AI, and machine learning solutions tailored for the healthcare industry. It helps organizations improve patient outcomes, optimize hospital operations, detect fraud, and ensure regulatory compliance through data-driven insights.
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