Enterprise AI Observability

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Industry Leaders’ Choice for AI Observability

All LLM and ML Models Need Production Monitoring

AI Observability is the foundation which gives enterprises the confidence to ship more predictive and generative models and LLM applications into production. The Fiddler AI Observability platform helps monitor, analyze, and protect models for a variety of use cases ranging from chatbot and efficiency apps to business and mission-critical deployments.

Data science, engineering, and LOB teams can apply actionable insights from hallucination, PII, toxicity, and custom metrics to improve KPIs like cost control, revenue impact, MTTI and MTTR. AI Observability is reliant on not only on metrics but also how well issues can be explained when something eventually goes wrong.

When predictive or generative models or LLM applications inevitably degrade in performance, AI Observability rights the ship.

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Your Partner in Building Responsible and Secure AI

IAS is looking to continue to implement additional models onto the Fiddler platform as this will enable us to achieve consistency across format and process for monitoring. Additionally, this will provide management with a single location to access insights related to model performance and for the auditors to export evidence to support all audit efforts around our models running in production.

Kevin Alvero

Chief Compliance Officer, IAS