Machines, systems and devices generate more and more data, and collecting this data centrally (by using IoT or any other data platform), or analysing it on premises are also both easier than ever before. Under the form of sensor readings and log files containing information about internal processes steps, performance or user interaction for example, but also data external to the equipment, such as the properties of raw materials or ambient temperature and characteristics of the electrical network powering the system, this massive amount of information contains valuable, actionable insights. Advances in machine learning and artificial intelligence make it possible to use this data to enhance most aspects and phases of a product’s life cycle. Download. |