Case Study: Leading Energy Services Enterprise achieves real-time predictive maintenance and large-scale monitoring with the Iguazio MLOps Platform

Real-time Monitoring and Operations

Leading Energy Services Enterprise, a $20B energy services company with 100,000+ systems deployed across 120 countries, needed to improve asset reliability, enable remote operations and monitoring, and move from batch analytics to real-time AI-driven insights. They partnered with Iguazio and adopted the Iguazio MLOps Platform for Energy and Utilities to accelerate development of predictive maintenance, anomaly detection, and other data-driven use cases.

Iguazio implemented an end-to-end MLOps solution that integrated with existing infrastructure, added an online feature store, and automated model training and real-time inferencing to deliver multi-tenant, production-ready models. The vendor delivered a working predictive maintenance iteration in just four weeks, enabling large-scale real-time monitoring and allowing the customer to monitor remote field data and act as events occur across its global fleet.