Artificial intelligence and quality, prepared and presented by Haitham Muslim

#ai #الذكاء_الاصطناعي One of the new ideas for quality system intelligence is to apply the principle of machine learning to improve the existing quality system. For example, deep learning and data analysis techniques can be used to collect information about operations and perform prescriptive analyzes to identify potential problems and direct actions to improve quality. Furthermore, artificial intelligence techniques can be used to develop forecasting models and statistical analysis to anticipate quality patterns and analyze data for information gathering and industrial developments. Applying these technologies can provide important benefits such as increasing efficiency, improving quality, and reducing human errors and time spent making decisions, which enhances the overall quality improvement of organizations and industries By Quality Engineer Haitham Musallam