Use cases for the Utilities
Improved predictive maintenance
Save money by fixing infrastructures before they broke
Utility corporations all over the world have to deal with huge recurring costs. Many corporations are now turning to AI to perform tasks like predictive maintenance. However, data collection sources are too far and too few. YData helps to plug the gaps and clean the data, generating more data samples, towards creating better predictive models.
Price prediction forecasting
Increase revenues with better simulation for energy trading
Trading prices fluctuate abruptly and forecasting them for Utilities involves many factors, and cannot be done without high-quality data. YData helps clean, balance, and augment the data without changing the gist. Inherent modularisation of the process in YData’s Pipelines allows for code-reusability and procedural streamlining.
Improved fraud detection
Save money by detecting more fraud events
According to estimates, theft and fraud of electricity cost the industry as much as $96 billion every year globally! Fraud detection using AI is a very challenging task without enough data. In addition to preprocessing and data synthesis, YData allows you to compare, fine-tune and contrast multiple ML model metrics and results at the same time!
