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"Infrastructure as a Dataset: Unlocking Utility-Wide Insights from Visual AI Inspections"

Utilities are moving beyond manual inspections to create living infrastructure datasets that transform how they detect risk, prioritize work, and plan capital investments. This webinar shows how visual AI, geospatial analytics, and always-on asset health scoring deliver real-world benefits for transmission, distribution, and DER operations.

Utilities now manage unprecedented complexity: aging infrastructure, more distributed energy resources, intensifying climate risk, and rising reliability expectations. Traditional, manual inspection cycles can no longer keep pace. This webinar introduces a new model—the “infrastructure dataset”—that allows utilities to systematize inspections, unify asset intelligence, and unlock utility-wide insights using computer vision and machine learning.

Attendees will learn how repeatable, high-resolution inspections across transmission lines, substations, poles, and DER assets generate a living data layer that strengthens asset health scoring, degradation modeling, and predictive maintenance programs. We’ll break down how visual AI inspections, when integrated across an entire service territory, evolve into a powerful operational tool that accelerates decision-making for asset managers, engineers, and operations teams.

Through real-world examples, we’ll explore how utilities are identifying and prioritizing risks more effectively—such as broken insulators, structural degradation, vegetation encroachment, and emerging safety hazards. We’ll also examine how this data accelerates emergency response, improves resilience planning, and supports more efficient capital deployment.

Finally, we’ll look ahead to how a unified infrastructure dataset enables a shift from traditional cycle-based inspections toward true condition-based strategies driven by continuous insights and real-time analytics.

Offered Free by: Zeitview
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