Machine learning is a relatively new scientific discipline which is focusing on developing algorithms that are self learning. We are able to predict a lot more accurate with machine learning then with traditional statistics like logistic regression.
Machine learning combined with big data is very powerful in predicting. It is very possible to switch to adaptive models which are self learning. The predictive model is getting more accurate over time as the results of the predictions are given back to the model. This means the model gets stronger as more data is going in.
Some examples using machine learning by Totta data lab.
Predicting retention / churn
Optimizing cross selling
Complex matching of supply and demand