Predictive maintenance uses data analysis and machine learning to predict when equipment failure is likely to occur, allowing for maintenance to be performed before issues arise.

IoT connects devices and equipment in factories to collect and exchange data, enabling real-time monitoring, remote control, and predictive maintenance.

Industry 4.0 refers to the integration of digital technologies such as IoT, AI, and data analytics into manufacturing processes to create smart factories.

Factories can improve product quality by implementing quality control measures, using advanced technology, providing training to employees, and listening to customer feedback.

Factories can reduce energy consumption through measures such as upgrading equipment, optimizing processes, implementing energy-efficient technologies, and using renewable energy sources.