YData for Utilities

Improved and synthetic data for AI

The Utilities industry involves large corporations stretched across multiple locations with a huge organisational setup. Managing all these resources is a demanding job, one that is already using AI on a large scale.

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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, generate more data samples, towards creating better predictive models.

Price prediction forecasting

Increase revenues with better simulation for energy trading

Trading prices fluctuates 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.

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Improved fraud detection

Save money by detecting more fraud events

According to estimates, theft and fraud of electricity costs 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!

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