Like the dusty streets of a Wild West town, the payment-processing industry is the setting for a never-ending shootout between good guys and bad guys. In this case, the good guys are armed with high performance computing systems that power machine learning algorithms designed to recognize and stop potentially fraudulent transactions initiated by the bad guys. This capability requires HPC systems that process enormous amounts of data on the fly with millisecond response times.
That’s the way it is at Mastercard. To identify and stop fraudulent transactions, the payment-processing powerhouse leverages machine learning algorithms running on HPC systems to process large data sets at lightning-fast speeds. Nick Curcuru, vice president of the big data practice at Mastercard International Inc., explains that the goal is to stop fraud in its tracks without disrupting or delaying legitimate transactions.