A Benchmark of Causal vs Correlation AI for Predictive Maintenance

This paper establishes a benchmark for evaluating causal versus correlational AI approaches in predictive maintenance. By providing a clear framework for comparison, this work helps industries implement more robust and reliable AI systems for predicting equipment failures, leading to significant cost savings and improved operational efficiency in real-world industrial settings.