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In the before and after analysis, the numbers in the after implementation might look improved, but then there could be other factors as well that might have been responsible for increase in number. How do we identify what percentage of the increase is number is due to our feature implementation?
How do you make sure that the person doesn’t feel threatened if you are using personal information to auto fill their birthday wishes? Will machine learning be able to achieve this or you need a human at the other end of the system to accomplish this?