FAQ from Censius: AI Observability & Model Monitoring Platform
What is Censius?
Censius is a cutting-edge AI Observability and Model Monitoring Platform that empowers teams to understand, analyze, and optimize the real-world performance of their AI models. It provides end-to-end visibility of both structured and unstructured production models, enabling a proactive approach towards model management.
How to use Censius?
Using Censius is simple and straightforward. Just integrate the SDK with your models, set up monitors to track your ML pipeline, and observe and analyze various aspects of model performance, drifts, decisions, and business impact.
How can I use Censius?
To make the most of Censius, integrate the SDK with your models, set up monitors to track the ML pipeline, and leverage its powerful capabilities to observe and analyze your models' performance, drifts, decisions, and business impact.
What are the core features of Censius?
Censius offers a range of core features, including automated monitoring and troubleshooting, generative AI monitoring, model monitoring for resolving staleness, model explainability for complex predictions, and Censius Analytics for gauging model performance and impact on business metrics.
What are the use cases of Censius?
Censius can be utilized to detect and analyze model drifts, perform root cause analysis of model decisions, analyze performance of cohorts, gain end-to-end visibility of model performance, build trust with model explainability, understand business ROI of ML models, monitor data quality and feature distribution, and compare and evaluate multiple model versions.