Across industries, Internet of Things (IoT) devices collect massive volumes of detailed data about their characteristics and operating conditions. The data from each device can be compared with a large dataset collected from similar devices, or things. However, extracting valuable data to create predictive models and gain insight into real-world events and processes requires machine learning.
Red Hat and SAP have collaborated to create a solution for using machine learning to analyze IoT data. This partner solution brief includes an overview of this solution applied to TrackMan, a golf analysis tool for professional players.