Building AGI for Climate and Weather: Advanced Model Training on AWS HyperPod
Join AWS Principal GenAI Specialist Ilan Gleiser for an insightful 45-minute session exploring the intersection of artificial general intelligence (AGI) and climate science. This talk will demonstrate how AWS SageMaker HyperPod is revolutionizing climate and weather modeling, with special emphasis on applications in energy trading and sustainability.
Drawing from his extensive experience in quantitative finance at institutions like Wells Fargo, Millennium Hedge Fund, and Morgan Stanley, Ilan will walk through the complete lifecycle of building and deploying large climate models. Topics will include data aggregation from multiple sources, model architecture design, distributed training infrastructure, and practical applications in energy trading.
This session is ideal for startup founders and technical teams interested in leveraging AWS's advanced computing capabilities for climate-related applications. Attendees will gain valuable insights into:
- Building flexible architectures for handling multi-modal climate data
- Leveraging AWS tools and infrastructure for model training and deployment
- Real-world applications in energy trading and climate risk assessment
- Best practices for fine-tuning and optimizing large climate models
Don't miss this opportunity to learn how cutting-edge AI technology can contribute to addressing climate challenges while creating business value.
By registering for this event, you agree to share your registration information with the organizers of SF Climate Week.