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:

• Performance Metrics: Monitor system latency, throughput, and reliability across AI workloads
• Cost Metrics: Track resource utilization, model usage, and infrastructure spending
• Safety Metrics: Measure input/output compliance, detect anomalies, and monitor risk levels
• Efficiency Metrics: Analyze resource utilization, caching effectiveness, and optimization gains
• Environmental Metrics: Track carbon emissions, energy usage, and environmental impact

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.