Key Points Total Quality Management is integral for an organization to run as effectively as possible. Utilizing AI within TQM has several benefits, including enhanced data analysis. Automation will lead to a TQM process less prone to human error.
The article from MSN discusses how Total Quality Management (TQM) is being transformed by the integration of Artificial Intelligence (AI) and automation in the digital age. It highlights that AI technologies are enhancing quality management by providing real-time data analysis, predictive maintenance, and automated quality checks, which reduce human error and increase efficiency. Automation tools are used to streamline processes, ensuring consistency and precision in quality control. The piece also explores how AI-driven systems can predict potential quality issues before they occur, allowing for proactive rather than reactive management. Furthermore, the article touches on the cultural shift required within organizations to fully embrace these technologies, emphasizing the need for training and adaptation to new workflows. Overall, AI and automation are not just tools for maintaining quality but are pivotal in redefining quality standards and practices in modern business environments.