The AI Observability Checklist for Healthcare Enterprises

In healthcare, a single AI blind spot can be catastrophic. Failures can put patient data, compliance, and brand reputation on the line. 

Fiddler's AI monitoring checklist provides a practical, step-by-step framework for building a robust and compliant observability strategy across the entire AI lifecycle.

Here's what's inside:

• Foundational Setup: Establish a robust framework for AI performance, risk management, and compliance.
• Pre-Deployment Validation: Run essential go-live checks, including bias testing and "red teaming" for generative AI.
• Continuous Production Monitoring: Setup key monitoring metrics for AI agents, GenAI and predictive apps along with real-time alerts for issues such as PHI leaks, model drift, agentic failures, etc.

This checklist will help you simplify your path to deploying trustworthy and compliant AI at scale.