Digital Twins enable the creation of virtual models of physical plants or products. These precise replicas allow companies to monitor and simulate their production environment in real time. By continuously updating with real-time data, businesses can optimize their processes and develop innovative solutions.

Machine Learning algorithms analyze large amounts of data to identify patterns and trends. In industrial automation, this means that machines can learn to understand from data and enable predictive analytics. Production processes are optimized, maintenance tasks are predicted and quality assurance is taken to a new level.

Predictive Maintenance is a cornerstone of industrial automation with AI. Machine parameters are monitored through continuous monitoring and analysis of data. Deviations from the norm are detected, and Predictive Maintenance algorithms predict failures before they can occur. The result: minimal downtime, optimized maintenance schedules and increased productivity.