video1.0<iframe src="https://www.loom.com/embed/2510a8fae88946389a3fc2b38d3c487d" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/2510a8fae88946389a3fc2b38d3c487d-567c762c0a9ac6d1.gif83.28In this video, I introduced our new aggregate operations co-pilot, which analyzes real-time weather data to identify severe weather events globally. By assessing factors like wind speed, snowfall, and rainfall, it generates severity reports and conducts risk analyses for vulnerable areas. For instance, if a major snowstorm hits Texas, local power grids will receive timely information to optimize safety measures. Currently, we have a 72% confidence level regarding potential weather impacts in Texas zip codes. I encourage you to explore other zip codes to see specific risk percentages and recommendations for your area.