Model Performance Management (MPM) is the foundation of model/MLOps, providing continuous visibility into your training and production ML, understanding why predictions are made, and enabling teams with actionable insights to refine and react to changes to improve your models. MPM is reliant not only on metrics but also on how well a model can be explained when something eventually goes wrong.
When ML models inevitably degrade in performance, MPM rights the ship.
Interactive explainable AI with unparalleled breadth, depth, and flexibility. Regulation-friendly with consistent, on-demand results.
Enterprise scale, security, and support without the hassles of homegrown systems and OSS components.
Monitor, explain, analyze, and improve performance in training and production ML. Complete context visibility, and root cause analysis into model behaviors from training to production.
Grow into advanced XAI and analytics capabilities over time with Fiddler and build a framework for responsible AI practices.
Expertise in assessing 3rd party AI tools and systems for fairness, predictability and performance.
MLOps, data science, analyst, and line-of-business groups seamlessly work together on actionable insights and tasks across the platform.
Low-code analysis, collaboration, and human readable explainability with a simple SQL interface and dashboards.
24/7 global support and white glove customer service and data science experts who care deeply about your AI outcomes.