Using AI to Accelerate Accurate Weather Forecasting
April 29, 2025 11:00 AM - 12:00 PM CDT
Online
April 29, 2025 11:00 AM - 12:00 PM CDT
Online
About the Session
Traditional weather forecasting is accomplished by physics-based simulation approaches, requiring tremendous computational power to conduct even individual forecast runs faster than real-time to have predictive value. These simulations are expensive, time-consuming (but urgent), and have diminishing accuracy over longer forecast times due to the nonlinear dynamics involved and the initial data coarseness and quality. However, we have vast quantities of historical data on weather patterns and events, presenting an opportunity to train AI models on weather patterns and thus transform weather forecasting to inferencing–with accuracy and greatly reduced computational costs and time. Google’s WeatherNext is one of the first AI-based forecasting applications, and has demonstrated excellent results compared to best-in-class weather codes. Join us to learn more about how AI is being used in a historically simulation-based domain, and what this might mean for other applications and domains.
Speaker
Nelly Wilson
Global Head of AI Services for Weather & Climate, Google
Nelly Wilson is the Global Head of AI Services for Weather and Climate at Google Cloud, where she leads the development and implementation of cutting-edge AI and data solutions. In her five years at Google, Nelly has spearheaded AI initiatives across diverse sectors including energy, healthcare, logistics, and agriculture, empowering businesses to harness the transformative power of Google Cloud's AI capabilities.
Prior to joining Google, Nelly held positions in engineering, product management, and business development at Siemens, L3Harris, and ExxonMobil. She holds a Masters in Information Systems and Operations Management.