Predictive maintenance technology uses machine learning algorithms to analyze data generated by machinery and equipment to predict potential failures before they occur. By assessing various factors, such as equipment performance indicators and usage patterns, these systems can identify anomalies that suggest impending maintenance needs. This proactive approach minimizes downtime, reduces maintenance costs, and extends equipment lifespan. Industries leverage predictive maintenance to enhance operational efficiency and optimize resource allocation, creating a more reliable and effective maintenance strategy.