Machine learning is the engine behind AI, and it isn’t scary the way sci-fi movies would have you believe. As a general-purpose technology, you can apply machine learning to many different scenarios to fuel innovation and create new capabilities.Machine learning works by using massive volumes of historical data and the probability of likely outcomes to refine mathematical models to better describe complex scenarios. Answer bias is not programmed into the system, meaning the data itself directs the modifications made to the model until the model reflects the data as accurately as it can. Once your model is ready (or trained) you can apply it to new data to better understand trends and likely outcomes.