AI for Prediction: Why You Need a Statistician Not a Philosopher - Kevin Scaman - Fundamental -dotAI

Why watch

Kevin Scaman from Fundamental explains why prediction problems in business (customer churn, demand forecasting, risk assessment) require statistical approaches rather than philosophical reasoning or LLMs. The talk focuses on structured tabular data and how foundation models are being adapted for tabular domains, contrasting with the language-centric approach of LLMs. This is aimed at ML practitioners and data scientists looking to understand when to apply statistical prediction versus generative AI techniques.