Every time a Mastercard is swiped at checkout, the credit card company taps AI to score the likelihood of fraud based on patterns in training data. It can sweep preview snippets of card numbers for sale on the dark web and attempt to ID them with predictive algorithms. Generative AI also cuts down on the number of false-alarm fraud alerts you get, according to Mastercard. These are a few of the operations Greg Ulrich oversees as Mastercard's chief AI and data officer. The credit card giant created the new perch in May as part of a larger reorg that merged data and AI operations and aimed to recognize the importance of both. It's one of a growing number of companies that are giving AI a seat in the C-suite as businesses fine-tune the way they operate with generative AI. (You can read Tech Brew's profiles of more of these leaders here.) Talk to enough of these companies, and some common threads tend to emerge—generative AI is perhaps most intuitively useful off the bat for coding, marketing, and maybe some customer service experiments. Mastercard is doing all of that, to be sure, but there are also some aspects of its AI operations that make Ulrich's job unique. Data deluge: For one, there's the sheer scale of the data: With billions of transactions per year, it doesn't make sense to centralize data operations into one department, Ulrich said. Instead, he works across the company to coordinate among data scientists in different areas. "We have a lot of people in the company with incredible skills in data science and data engineering that are already in place and are there to experiment and help build and create new opportunities," he said. "It is my responsibility to create a community around that, to create consistency and best practices around that, to create coordination around that, to make sure that…we're learning from each other and we're all moving in the same direction." Keep reading here.—PK |
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