July 13 Grid Analytics Community – Featured during UAI Community & Innovation Week

Join the Grid Analytics Community during UAI Community & Innovation Week, our brand-new virtual event bringing together utility analytics professionals from across the industry for a full week of innovation, collaboration, and forward-looking discussions.

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IMPORTANT: Registration Required to Attend* | Register Today!
*All UAI Utility and Solution Provider Members and non-member utility organizations receive complimentary registration to UAI Community & Innovation Week.

Useful Links:
• Register today to reserve your seat
• Learn more about UAI Community & Innovation Week
• View the full event schedule 
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Featured Grid Analytics Community Conversation:
• Monday, July 13, 2026 | 1:00 – 2:00 PM ET
• Full session details below!

To attend this featured Grid Analytics Community session, registration for UAI Community & Innovation Week is required. By registering, you’ll gain access not only to this featured Grid Analytics Community session, but also the full week of Community & Innovation Week programming taking place July 13–17, 2026, including sessions focused on analytics, AI, innovation, and utility transformation.

Session Title: Computer Vision Aided Electric Distribution Grid Infrastructure Defect Detection

Session Description:

A reliable and efficient distribution grid requires regular maintenance of its electrical and physical infrastructures. In person, individual physical inspections for preventive maintenance require extensive resource management and are often not feasible for large distribution grid operators. Therefore, an AI-based grid infrastructure defect detection tool can provide value through efficiency and scalability.

“Image AI” is a computer vision-based application developed by the Advanced Analytics group at Exelon that detects distribution grid infrastructure defects (poles, cross arm, fuse, pin arm, etc.). The application provides actionable intelligence by analyzing raw grid infrastructure images captured through UAVs (Unmanned Aerial Vehicles), satellites, or through other resources.

Speaker: Ashraful Haque, Senior Quantitative Engineer – Exelon

Questions? If you have any questions or run into any issues, please contact us at info@utilityanalytics.com.