What if the model that tells you a machine is about to fail is the same model that tells you a customer is about to leave? That’s what we found when we compared two projects that had nothing to do with each other on paper.
A predictive maintenance model watches a machine’s sensors, oil pressure, vibration, and calculates its remaining useful life, so maintenance happens before something breaks. A churn model built for a bank watches something else: whether a customer still uses their account as their primary one, whether their salary still lands there, whether their debit order behaviour has changed. Different industry, different sensors, same underlying model.
Watch the video below to hear how we made the connection, and what it means for how far AI actually transfers between industries.