Learn the finer details on the challenges and best practices for assessing deep neural networks (DNNs) in power grid asset management.

Learn about:

• Why traditional AI evaluation methods fall short in large-scale power grid inspections
• The importance of asset-level metrics over image-based evaluations.‍
• How to account for indirect defect detection and variability in image quality.
• Practical frameworks to ensure AI models deliver accurate, actionable insights for grid reliability.