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#168 Causal AI in Business with Paul Hünermund, Assistant Professor, Copenhagen Business School

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Understanding Causal AI in Marketing

This chapter explores the critical differences between traditional machine learning predictions and those from causal models, emphasizing the importance of causal inference in decision-making. It highlights the significance of understanding conditional causal effects for targeted marketing and discusses tools available for practitioners in Python and R. The chapter also underscores the need for collaboration between data scientists and business stakeholders to enable successful adoption of causal AI principles across organizations.

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