AAIA · Question #9
Which of the following key performance indicators (KPIs) are MOST important when evaluating whether an AI model meets business objectives?
The correct answer is D. AI model accuracy in predicting actual outcomes. Business objectives are met when the AI model produces correct, reliable predictions or decisions in real-world scenarios. Accuracy in predicting actual outcomes directly measures this alignment - it is the most fundamental indicator of whether the model is doing what the…
Question
Which of the following key performance indicators (KPIs) are MOST important when evaluating whether an AI model meets business objectives?
Options
- ACost of resources required for AI model training
- BNumber of users interacting with the AI model
- CFrequency of AI model retraining
- DAI model accuracy in predicting actual outcomes
How the community answered
(38 responses)- A3% (1)
- C3% (1)
- D95% (36)
Explanation
Business objectives are met when the AI model produces correct, reliable predictions or decisions in real-world scenarios. Accuracy in predicting actual outcomes directly measures this alignment - it is the most fundamental indicator of whether the model is doing what the business needs it to do. Training cost (A) is a financial/operational metric unrelated to model effectiveness. Number of users (B) measures adoption, not performance quality. Retraining frequency (C) is an operational maintenance metric that may indicate model drift but does not by itself indicate whether the model is accurate or effective.
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