Enterprise AI Observability
Metrics Driven LLM and MLOps
AI Observability is the foundation which gives enterprises the confidence to ship more high performing, revenue-generating or cost-cutting predictive models, generative AI models, and LLM applications into production. The Fiddler AI Observability platform helps monitor, analyze, and protect models through a variety of internal and external use cases.
Data science, engineering, and LOB teams can improve models and safeguard applications with actionable insights from hallucination, PII, toxicity, and custom metrics to improve specific KPIs like cost control, revenue impact, MTTI and MTTR. AI Observability is reliant on metrics and how well issues can be explained when something eventually goes wrong.
When predictive models, generative AI models, and LLM applications inevitably degrade in performance, AI Observability rights the ship.