This work combines machine learning techniques and Amazon Web Services, the cloud computing platform provided by Amazon, to tackle the proactive customer care problem for telecommunication companies. Current solutions consist in a simple KPIs monitoring to identify and address near real time devices issues with algorithms able to trigger specific alarms when a fixed threshold is exceeded. The aim of this work is to carry out activities in background, using analytic tools and machine learning techniques to identify factors which are causing current problems or which are likely to cause future problems. Thanks to very powerful classification methods, the idea is to create algorithms able to drive insights, understand correlations and recognize symptoms potentially leading to customer calls.