Machine learning and Industrial IoT: Now and into the future

To serve target customers better than their competition, embedded design teams today are looking into new technologies such as machine learning (ML) and deep learning (DL). ML and DL allow these designers to develop and deploy complex machines and equipment faster and with limited resources. With these technologies, design teams can build complex models of a system or systems using a data-driven approach. Instead of using physics-based models to describe the behavior of the system, ML and DL algorithms infer the model of a system from data. Traditional ML algorithms are useful when the amount of data to be processed is relatively small and the complexity of the problem is low.