What are some tactics being used in testing AI driven features ? How can we measure the accuracy of recommendations / predictions / scores coming out of an AI feature ? How do we create data that mimics real world business scenarios to run these test cases ?
This depends on the nature of AI driven features. Some examples below:
a) Numerical/Data based features - Use offline metrics such as Precision/Recall/RMSE and Online (business Metrics) such as CTR, Revenue per session ...read more
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Apparao Karri, VP Product Management at Intentsify | Gartner Peer Community
a) Numerical/Data based features - Use offline metrics such as Precision/Recall/RMSE and Online (business Metrics) such as CTR, Revenue per session ...read more