Inside 2021 ML Trends: Causality

If you're familiar with machine learning, you know that some use cases are churn prevention, fraud detection, and predictive maintenance. All of those are trying to predict some kind of event happening, but it's not about actually intervening on that event. It's not about asking questions such as, "What would happen if I do this action." So for instance, in a dynamic pricing scenario, if you use machine learning, you're not really asking yourself the question, "What will have happened if I raise my prices? Will I still have the same number of bookings, can I have higher prices?"