AI for power utilities: start with the operational decision
Strong AI programs begin with a specific workflow, reliable data and measurable success criteria—not a generic technology rollout.
Explore AI for utilities →Ideas for a changing utility sector
Perspectives on smarter, more connected utilities.
Explore practical themes across utility data, AI, smart metering, GIS and digital modernization. Content can be expanded with approved GECE project stories and expert articles.
Why meter data quality matters beyond billing
Consistent validation, exception handling and data lineage can make smart-meter data more useful for analytics and operations.
Explore AMI & MDMS →Connecting GIS and asset records for better visibility
When spatial and asset information are aligned, teams can work from a clearer view of infrastructure and network context.
Explore Power GIS →Digital twins: useful when data and purpose align
A digital twin needs a clear use case, trustworthy source data, a maintenance model and a plan for turning insights into action.
Explore AI capabilities →Planning a safer utility data migration
Profile, map, reconcile and validate source data before cutover; build repeatable checks and clear rollback plans into delivery.
Explore data integration →Integration as the foundation of digital utility operations
Connecting systems around agreed data definitions and controlled interfaces helps reduce fragmentation and support future modernization.
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