Machine learning promises to solve complex problems in the telecommunication operational domain much faster, cheaper, and with more accuracy than the best human domain experts could ever hope to achieve. Machine learning applied correctly has the potential to predict, identify, and quickly isolate anomalies yielding positive business outcomes. This is possible now because of high quality data sets, advances in compute processing, and teaming telco domain experts with data scientist to develop robust machine learning algorithms. The best way to think about machine learning is that it minimizes a cost function such as reducing an error rate. Said another way it processes millions of data sets, searches for patterns, and the results have a higher rate of accuracy compared to traditional methods.