MS Azure Machine Learning tab

This section gives full information about the activities on the Microsoft Azure Machine Learning tab.

Prerequisites

Good to Know

  • Some information about third-party integrations is outside the scope of the AgilePoint NX Product Documentation. It is the responsibility of the vendors who create and maintain these technologies to provide this information. This includes specific business use cases and examples; explanations for third-party concepts; details about the data models and input and output data formats for third-party technologies; and various types of IDs, URL patterns, connection string formats, or other technical information that is specific to the third-party technologies. For more information, refer to Where Can I Find Information and Examples for Third-Party Integrations?

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.

Figure 1. AI Control Towers for Microsoft Azure Machine Learning

Process Activities for Microsoft Azure Machine Learning

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.