‘Adoption of IoT and AI’
The adoption of IoT devices allows for continuous monitoring of equipment by collecting real-time data on performance and health. This data is then analyzed using AI algorithms to identify patterns and predict potential failures. By leveraging machine learning, organizations can improve the accuracy of their maintenance forecasts. This proactive approach minimizes unexpected downtime and enhances overall operational efficiency. Ultimately, the integration of IoT and AI transforms maintenance from reactive to predictive, driving better resource management.
