Resources
Talks, interviews, webinars and datasets
Recordings from practitioners and researchers, and the public datasets most used to learn and benchmark predictive maintenance models.
Speak or be interviewed
Share what you have learned
Reliability engineers, data scientists and researchers with real deployment stories are welcome. Lessons from what did not work are as valuable as successes.
Using the datasets
Benchmarks are a starting point
Lab datasets with seeded faults are cleaner than plant data. Read real-world data challenges before trusting a benchmark score.