Part 8/12:
Determining whether a generative AI use case delivers value involves setting appropriate metrics. Chandra identifies several critical KPIs:
Bias and Fairness: Assess the extent of bias in generated outputs to prevent ethical lapses.
Outcome Accuracy: Measure how well the AI’s results align with the intended purpose.
Data Drift and Model Performance: Monitor how often data changes, necessitating retraining.
User Satisfaction and Feedback: Gather qualitative data from end-users regarding AI interactions.
Business Impact: Track specific metrics tied to strategic goals such as reduced operational costs, increased customer satisfaction, or higher conversion rates.