The tech world of tomorrow will look different. There will be more diversity: in gender, in background, in ways of thinking. It will be that way because of the important work we are doing here today.
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.
