Download Predictive Maintenance case-study

Downtime reduction with improved failure detection

The adoption of a data-driven strategy for Predictive Maintenance empowers energy and utility industries. A successful Predictive Maintenance implementation can reduce maintenance costs by 25–35%, eliminate downtimes by 70–75%, reduce downtime by 35–45%, and increase productivity by 25–35%.

Download this case-study to learn more about:

• The impact of data quality in predictive maintenance & pro active failure detection
  
  
• The benefits delivered by synthetic data generation to balance underrepresented labels and meters behaviour