Case Study: AES achieves major maintenance cost savings with H2O.ai AI Cloud

AES saves $1M a year with H2O.ai

The customer, AES, a leading renewable-energy company, faced the challenge of launching an AI transformation to predict equipment failures and optimize operations without any data scientists on staff. They needed a platform to quickly build a team and scale models, turning to vendor H2O.ai and its H2O AI Cloud to accelerate their results.

Using the H2O AI Cloud platform, which included H2O MLOps, H2O Wave, and H2O Feature Store, AES developed and deployed over 150 production models. The solution from H2O.ai delivered significant measurable impact: a predictive maintenance program cut maintenance repair costs by two-thirds, and a smart-meter project saved roughly $1 million per year by avoiding unnecessary technician trips.

AES