Censius
Censius is an AI-based platform designed to enhance the performance of AI models by providing clear visibility and taking proactive management steps.
What is Censius?
Censius is an Artificial Intelligence Observability and Model Monitoring Platform designed to assist teams in comprehending, examining, and enhancing the actual performance of AI models in real-world scenarios. This platform provides complete visibility into both structured and unstructured production models, allowing for a proactive strategy in managing models.
How to use Censius?
To use Censius, follow these steps: 1. Integrate Software Development Kit: Sign up models, record features, and capture predictions by using Java and Python Software Development Kit or Representational State of Resource Application Programming Interface. 2. Set up tracking tools: Pick from many tracking tool configurations to track the entire Machine Learning pipeline. 3. Observe: Examine model changes, find the root causes of decisions, divide data into groups, gain visibility of model performance, build trust with explainability, and understand business Return on Investment.
Features
- Automated systems for monitoring and resolving issues
Use Cases
- Identify and examine changes in model performance
- Analyze the root cause of model decisions.
- Evaluate the performance of different groups and guarantee uniformity in decision-making.
- Get complete insight into model performance from start to finish
- Establish credibility through transparent AI model explanations. (Note: The original text is very short, so there's not much to rewrite. However, I've rephrased it to make it clearer and more detailed while maintaining its original length.)
- Understand the Return on Investment for Machine Learning Models in Business
- Track the accuracy of data and the spread of its characteristics.
- Analyze and Assess Various Model Versions