EPCOR
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EPCOR has 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 2 countries. Key partners include FIDO Tech.
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Hyperscaler mix
See whether EPCOR's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How EPCOR builds AI
Build / Buy / Compose across this company's documented cases
2 of 2 cases classified (100%) · Compare all use-case types
Use case portfolio
Use case types at EPCOR
Irrigation optimization leads with 1 of 2 documented cases; 2 distinct types appear across the visible portfolio.
Reported outcomes
1 case reports measurable results
−17%
Cost savings
median · 1 metric
Medians of results published in EPCOR cases, normalized for comparability. See all benchmarks →
Technology snapshot
What EPCOR uses across visible cases
Fine-Tuned Models appears in 1 of 2 indexed cases; 6 named technologies are mentioned, led by Azure.
Capability mix
Technologies mentioned
All Use Cases (2)
EPCOR Cuts Water Waste via AI Leak Detection
EPCOR, Arizona's largest private water utility, faced the problem of high water loss—up to 40%—due to undetected leaks in its vast piped network, a challenge shared globally where some regions lose as much as 70% of their drinking water. To address this, EPCOR partnered with UK-based FIDO Tech and Microsoft. FIDO's AI acoustic tool, enhanced by GPT-4 and deployed on Azure OpenAI Service, analyzes acoustic sensor data from water pipes to precisely locate leaks, rank them by severity, and prioritize repairs.Since 2023, this technology has been deployed in several geographies, including Arizona, Mexico, South Africa, and the UK, in collaboration with organizations such as State Water Commission in Querétaro and Las Vegas Valley Water District. Microsoft's global water sustainability initiative leverages such AI-driven projects to support watershed replenishment and operational efficiency across utilities. The AI tool's ability to accurately detect even quiet leaks in plastic pipes, which have traditionally challenged old detection methods, leads to much faster repairs and reduced excavation costs for communities.FIDO sensors are attached to pipe infrastructure, capturing acoustic data that is then processed by deep learning models to differentiate genuine water leaks from background noise and other non-leak sources. The system can recommend optimal sensor placement, assess water volumes lost, and help schedule repairs for maximum impact. This advanced solution streamlines leak detection, lowers multi-million-dollar pumping and treatment costs, and supports water conservation efforts vital to arid regions.EPCOR's implementation resulted in a drop of non-revenue water from 27% to about 10%, translating into major cost savings and reduced supply strain. Due to the scalability and flexibility of FIDO's solution, sensors can be redeployed and moved, providing lasting benefits across rapidly expanding service areas.This project is a model for combining advanced AI, IoT, and deep learning to address pressing environmental and infrastructural challenges, demonstrating transferable benefits for utilities worldwide.
EPCOR boosts predictive maintenance and efficiency in aircraft support operations
EPCOR, a subsidiary of Air France-KLM, modernized its maintenance operations for aircraft Auxiliary Power Units (APUs) by migrating legacy systems to a Microsoft Azure cloud environment.Facing outdated, manual processes and inconsistent ERP data, EPCOR set out to build a robust, AI-enabled infrastructure.They implemented Dynamics 365 Finance & Operations, established a data warehouse, and replaced SAP Business Objects with Power BI for better data visualization.A modernized proprietary tool, Prognos for APU, was migrated to Azure, centralizing and harmonizing aircraft component data for real-time analytics.Collaboration with data scientists led to development of new AI algorithms for predictive maintenance, enabling earlier detection of APU faults—including subtle issues not detected by traditional monitoring.The cloud solution allowed EPCOR to forecast shop visits, optimize inventory and turnaround times, rapidly scale IT resources as their business grew, and improve service reliability.Key benefits include greater operational efficiency, scalability for future growth, and the ability to support over 100 airlines globally with advanced insights.
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