Thought Leadership

In a recent AI Studio Challenge Project, a team of Break Through Tech Fellows worked with Marsh McLennan, a major consulting and risk strategy firm, to tackle the high-stakes issue of predicting the impact of hurricanes on vessel traffic off the Atlantic coast.

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.

Using insurance claim data, Break Through Tech AI fellows worked with Allstate to develop machine learning models that forecast the ultimate cost of insurance claims.