Trustwise Metrics Overview

Trustwise metrics provide comprehensive visibility into your AI systems through real-time monitoring and analytics. These metrics help organizations understand performance, identify bottlenecks, track costs, and ensure compliance across their AI operations. By collecting metrics at both infrastructure and application layers, organizations can make data-driven decisions about optimization, scaling, and risk management while maintaining operational excellence.

Key metric categories include:

• Safe:ai: Ensure system safety, compliance, and risk mitigation.
  • Measure input/output compliance, detect anomalies, and monitor risk levels.
• Align:ai: Maintain alignment with user goals and expectations.
  • Monitor system reliability, throughput, and latency adherence.
  • Detect misaligned behaviors or unintended consequences.
• Green:ai: Track environmental and energy-conscious operations.
  • Measure carbon emissions, energy usage, and environmental impact.
• Fast:ai: Focus on speed, efficiency, and cost-effectiveness.
  • Analyze resource utilization, caching effectiveness, and optimization gains.
  • Track infrastructure spending, model usage, and resource utilization.

Each metric category provides actionable insights for optimizing your AI operations while maintaining safety and efficiency standards. Metrics can be viewed in real-time dashboards, tracked for historical analysis, and used to trigger automated optimizations and alerts.