Case Study: Predictron

In manufacturing, unplanned downtime is the enemy of efficiency. This case study breaks down how a machine learning model was developed to predict equipment failures before they happen. By analyzing IoT sensor data with time-series models, the system achieved 85% predictive accuracy up to a week in advance, leading to a 20% reduction in downtime and significant cost savings.