Predictive maintenance is one of the hottest topics on the way to digitalization of all industry areas. Manufacturers have developed different levels of maturity. From visual inspection, through real-time condition monitoring, to recent times when big data analytics with the aid of machine learning allows identify meaningful patterns in vast amounts of data and generate new, actionable insights.
This session will step on a couple of real project challenges to propose credible approach towards utilization of latest generation technologies for predictive maintenance in Industry 4.0. Although Machine Learning in Azure will be used for simplicity and demonstration, the majority of takeaways are valid for a wide range of technologies.