Smarter IoT applications incorporate machine learning - IoT Agenda

Many IoT applications generate so much data that it isn't humanly possible to analyze and act upon it in time. Data scientists analyze mountains of data to identify patterns and define rules on how the IoT system should respond. Things change though, and new factors emerge which influence what the right action to take is. How do you make sure that your IoT system evolves in a changing environment and picks the optimal response? The Internet of Things (IoT) world may be exciting, but there are serious technical challenges that need to be addressed, especially by developers.