Subtle changes in performance or behavior of critical assets in factories, hospitals, and other environments can be identified by machines much earlier than a human. Xilinx powered systems can incorporate intelligence to maximize productivity and lower downtime by applying predictive maintenance. Xilinx’s Python and Neural Network-based Edge AI Solutions simplify the implementation of hardware accelerated predictive maintenance to continuously monitor assets, analyze data, and intelligently plan service for these systems. In this webinar, you will see how this is done on an Industrial Motor and go beyond!