Utilities are under increasing pressure to inspect assets faster, reduce risk, and maintain regulatory compliance. Traditional inspection workflows often involve fragmented tools, manual data collection, and lengthy review cycles that delay action.
In this webinar, we explore how utilities can streamline inspection workflows by combining GIS-driven planning, automated drone capture, and AI-powered fault detection to accelerate the path from inspection to operational decision.
Topics Covered
Centralize asset inspection planning with GIS data
Automate inspection image collection with Autofly (GCS)
Reduce fault detection times from months to hours by applying computer vision (AI) with expert review
Maintain full data sovereignty by owning & retraining AI models on proprietary data.
Speakers
Richard
Richard Braithwaite: Solution Specialist
Richard assists energy companies integrate real-time video analytics into daily operations. A qualified drone pilot, he embeds AI and UAV technology into workflows for faster, safer, and more efficient asset monitoring.
Josh
Josh Nassau: Account Executive
Josh is based in the United States and works closely with utilities and public sector organizations to support the adoption of computer vision for asset inspection and operations. His focus is pairing solutions with real business challenges experienced by his customers.
