I understand there are lot of ML products that can help predict the time to event. For ex, customer will purchase in the next 30 days or Patient has chances of re-admission in next 60 days etc.
But why do you think why don't people predict to the level of date?
ex: For ex, customer will make his next purchase on Feb 2nd, 2016 or patient has chance of readmitting on Mar 23rd, 2018.
Don't know from an ordinary layman perspective, I feel dates might be more useful. Of course, all our predictions are reported based on confidence Intervals.
For ex: If we know the date when the course will end, we can plan our schedule accordingly to do other tasks/sign up for new courses etc. But if we are told that your course might end anytime in next 30/60/90 days, we are at risk of wasting few days before we enroll for another course etc. Hope my example makes sense.
Can experts here suggest me on when
a) Prediction to date level might be a good thing?
b) Prediction to date level might be a bad thing?
