Capstone Project: Quantifying the Business Impact of AI Model Quality Investments
Project Overview
Dataset Size: 2.5M+ synthetic records
Executive Summary
This capstone project challenges graduate students to answer a critical business question facing AI companies: Does investing in rigorous offline model evaluations translate to measurable improvements in user engagement and revenue?
Students will work with realistic synthetic data spanning 6 months of user interactions, model evaluation scores, and subscription conversions to establish causal relationships between model quality improvements and key business metrics.
