Microsoft Azure Machine Learning

AI Control Towers

You can use Microsoft Azure Machine Learning AI Control Towers to orchestrate operations within your apps.

An AI Control Tower is a process activity used for robust, secure monitoring that work with predictive AI to improve workflows with dynamic, predictive capabilities. These predictive AI agents enable real-time monitoring, control, and adaptation for process instances, dynamically adjusting them based on AI-driven predictions. AI Control Towers seamlessly handle AI agent integration and orchestration across multiple apps. AI Control Towers also provides centralized, real-time monitoring and analytics features that leverage AI to help organizations oversee their operations, improve governance, and optimize their business processes.

The following AI Control Towers are available for Microsoft Azure Machine Learning:

• Get Prediction
• Prediction - Adapt Flow
• Prediction - Initiate Subprocess
• Prediction - Send Notification

For more information, refer to the AI Control Towers for Microsoft Azure Machine Learning in Process Builder.

Access Tokens

You can create access tokens for Microsoft Azure Machine Learning.

An access token is a secure object that stores an endpoint (usually a URL) and authentication credentials to connect to a service or technology. Often this is an external or third-party service, like Salesforce or SharePoint, but access tokens can also connect to an AgilePoint NX enviornment, local database, or other types of technologies. Once an access token is created, app designers can simply select and reuse it, rather than entering the credentials each time they are needed.

For more information, refer to Access Token for Microsoft Azure Machine Learning.