We are pleased to share that our latest research on Causal Machine Learning has been published in MIT Sloan Management Review!
In this paper, Feuerriegel, S., von Krogh, G., & Shrestha, E. dive into how causal ML can help organizations move beyond simple correlations to better predict the impact of different choices—everything from R&D investments to marketing campaigns.
They also share insights from real-world implementations in manufacturing, finance, and more, highlighting how “what if” questions can lead to more informed decision-making and stronger business outcomes.
Discover how Causal ML can transform your approach to data-driven strategy.
Read the full paper at MIT Sloan Management Review.
