Using ML and AI models to predict and detect early failures
Automating production processes
Automatically inspecting product quality
Supporting production project management
Collecting data from sensors
Optimizing material usage
Reducing maintenance time and costs
Optimizing production scheduling
Adjusting production lines in real-time
Supporting data aggregation and analysis
Developing market forecasting models
Detecting and preventing intrusions