• 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