Fact vs. fiction in causal AI for marketing & data science | Aleksander Molak | Coffee Breaks

​Recast's Coffee Breaks include deep dives into complex topics with experts and discussion + Q&A with operators in an informal setting. We'll cover everything from digital tracking and attribution to running effective experiments and MMM.

In this session, Aleksander Molak, a machine learning researcher, author, advisor, educator, and entrepreneur specializing in causality, natural language processing, and AI strategy, joins us to discuss causal AI. We'll explore fact and fiction in causal machine learning, how to identify snake oil sellers pitching causal AI, and the practical applications of these concepts in marketing and data science.

Aleksander brings his extensive knowledge and experience to the table, offering valuable insights for technical marketers, econometricians, and data scientists alike. This value-packed episode promises to be an informative and engaging coffee break where you'll really learn something.

Follow Aleksander on LinkedIn:   / aleksandermolak  

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