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12. Using predictions as context in agents

This demo provides a detailed walkthrough of how to implement and utilize predictive AI in Data 360. It focuses on consuming predictions through agent actions using a binary classification model for loan approval. Key elements include setting up a custom predictive model action, creating a sub-agent for loan-related inquiries, and integrating these components into an existing agent. The process culminates in real-time conversation capabilities, allowing agents to provide immediate, actionable insights based on predictive scores and recommendations.