Stefan Wager

Stefan Wager, a Stanford professor and expert in causal machine learning, dives into the misalignments between prediction and decision-making. He argues that traditional machine learning often neglects the crucial 'what-if' questions businesses face. Stefan shares insights on causal relationships and emphasizes the need for robust experimentation to make informed decisions. He explores the role of causal ML in enhancing customer engagement and optimizing revenue, while also discussing common pitfalls in experimental design, making a compelling case for collaborative learning in the data science field.