"Tech is built by and for people. So the question is: Who do we want our future builders to be, and how do we invest in them?”
Through a recent AI Studio Challenge, Mastercard partnered with a team of Break Through Tech fellows to tackle a critical business issue: predicting customer churn.
Beyond technical skills, Break Through Tech’s AI Program provided Linn Khant Thuya with invaluable mentorship.
Using Large Language Models (LLMs) and a range of machine learning techniques—including clustering, dimensionality reduction, and sentiment analysis— AI Program fellows worked to organize unstructured customer feedback into 10–15 distinct, meaningful themes.
