Case Study: a leading US-based electricity supply company achieves near real-time defect prediction and grid resiliency with Persistent Systems and GCP

Empowering a leading US-based electricity supply company with a modern enterprise data platform

A leading US-based electricity supply company faced significant challenges in managing vast amounts of grid data. Its on-premises systems could not handle the volume, leading to delayed decision-making, manual inefficiencies, and an inability to scale its MLOps processes. To overcome this, the company partnered with Persistent Systems for a modern data solution.

Persistent Systems implemented a scalable enterprise MLOps platform on Google Cloud, leveraging Vertex AI. The solution enabled near real-time defect predictions on over 20 million images, automated data governance, and provided secure, scalable model deployment. This empowered the client to improve grid reliability, reduce service outages, and make faster, data-driven decisions for its 15 million consumers.