What is Scoring in an AI workplace?
Scoring in AI involves applying a trained machine learning model to new data to generate predictions or assessments. It involves using the model to evaluate inputs and produce a score or classification based on learned patterns.
Benefits of Scoring
- Enables rapid, automated decision-making
- Provides consistent evaluation across large datasets
- Allows for real-time predictions and assessments
- Supports data-driven insights and actions
- Facilitates integration of AI predictions into business processes