As the energy landscape becomes increasingly complex, utilities are undergoing a fundamental transformation enabled by cloud computing and artificial intelligence. This session explores how these technologies are improving grid operations and decision-making capabilities. Drawing from their extensive experience in delivering grid software, GE Vernova will share how they are working with utilities to implement GridOS Visual Intelligence, where LiDAR and satellite imagery processed by machine learning models and AWS Cloud Services have transformed traditional vegetation management and asset inspection approaches into data-driven, risk-based programs. We’ll discuss how this cloud-native approach, combined with AI capabilities, is enabling utilities to enhance situational intelligence, improve response times, and make more informed decisions. Looking ahead, GE Vernova will share their perspective on emerging trends, including how generative AI and other advanced technologies are set to further reimagine utility planning and operations and pave the way for an autonomous grid.

Key takeaways:
1. Discover how the combination of cloud computing and AI is transforming traditional utility operations into data-driven, risk-based programs through real-world examples like GridOS Visual Intelligence.
2. Learn how utilities are leveraging LiDAR, satellite imagery, and machine learning models to modernize vegetation management and asset inspection processes.
3. Understand emerging trends in grid automation, including how generative AI and advanced technologies are shaping the future of utility planning and operations.

Session sponsored by AWS