In the manufacturing industry, equipment failures can result in costly downtime and maintenance expenses. Traditional methods of equipment maintenance, such as scheduled maintenance or reactive maintenance, can be inefficient and may not prevent all equipment failures.

AI and machine learning (ML) can play a key role in predicting equipment failure in manufacturing companies. By training an ML model on data from various sources, such as equipment usage, sensor data, and environmental factors, our solution can predict when equipment failures are likely to occur. In addition, ML models can be used to optimize maintenance schedules and reduce maintenance costs.