Predictive maintenance technology, enabled by IoT and machine learning, allows for the anticipation of system failures by analyzing data from various sensors. By monitoring performance and identifying patterns, organizations can schedule maintenance before a failure occurs, reducing downtime and extending equipment lifespan. This proactive approach minimizes repair costs and improves operational efficiency. Furthermore, predictive analytics enables businesses to optimize resource allocation and enhance overall productivity, empowering companies to make informed decisions based on data-driven insights.