Business Decisions with AI: Causality, Incentives & Data

In a world flooded with data and AI-driven tools, how do businesses know which decisions truly drive results? This talk explores how modern companies are using causal inference - not just correlations - to understand impact and evaluate opportunities.

Professor Alexandre Belloni will discuss how complex settings in tech companies create additional complications to measure and evaluate business decisions. Drawing on cutting-edge research on the intersection of AI and causal inference, Belloni will demystify how to properly measure the efficacy of these decisions and show how AI can help shape better implementation for a variety of applications.