AI.Q — The Best Enterprise-Class AI Explainability Technology
The use of machine learning is exploding, but machine learning has a big flaw: It’s a black box. That means even when models work, data scientists don’t necessarily know why. This becomes a problem when models break or when regulators or consumers ask questions about a result. The science behind what drives outputs of machine learning models is called AI Explainability.
TruEra’s AI.Q technology — the basis for its platform — is the best enterprise-class AI Explainability technology in the market. Based on six years of research performed at Carnegie Mellon University, it performs sophisticated sensitivity analysis that enables data scientists, business users, and risk and compliance teams to understand exactly why a model makes predictions.
How AI.Q Is Different
Works with all popular model types
AI.Q is model-agnostic: It works with all types of regression and classification models, including logistic regression, gradient boosted and other tree ensemble models, and deep neural networks.
Answers key questions and helps address bias
AI.Q can answer a broad set of questions about causal drivers of model predictions for individuals as well as aggregate trends relevant to addressing unfair bias and instability.
Delivers enterprise-class accuracy and performance
AI.Q accurately explains machine learning models with confidence bounds and the performance enterprises require.