We had to be able to make a decision like that, without reprocessing all of our learning. So we take a small slice of information and a profile of the customer, set up a promotion, prime up the customer's history, and wait for the events. It primes up just the right amount of information in real time... [A system like that,] might not be as precise, but it would be statistically good enough. Maybe it would be wrong five percent of the time, but that's okay. It would be more like making judgment calls. (Sumit Chowdhury)

We had to be able to make a decision like that, without reprocessing all of our learning. So we take a small slice of information and a profile of the customer, set up a promotion, prime up the customer's history, and wait for the events. It primes up just the right amount of information in real time... [A system like that,] might not be as precise, but it would be statistically good enough. Maybe it would be wrong five percent of the time, but that's okay. It would be more like making judgment calls.

Sumit Chowdhury

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able amount customer decision enough five good history information judgment learning making might maybe prime profile real right set slice small system take time wait wrong promotion percent okay reprocessing

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