Industrial plants usually provide plenty of data. However, these are often incomplete and not designed for advanced analysis
Events are not labeled or at least not in quality expected for ML
Documentation is not focused on data science, e.g. by the minute recording of component replacements or maintenance
Maintenance logs might contain the days or rough areas in the process where changes happened
To make standard AI work, data needs to be prepared by a mix of engineers and data science experts
A practical AI needs to take all this into account and must be robust
Prexello works with real-life data and quickly learns from your experts
Launch with imperfect data, get results immediately, quickly reaching highest prediction performance
Our data scientists monitor and manage everything in the background
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