Unifying Asset Intelligence for Grid Planning

Unifying Asset Intelligence for Grid Planning

Despite an exponential influx of visual data coming from drone inspections and satellite imagery to LiDAR and thermal field captures, many utilities today feel they are farther from a unified, predictive view of the grid than when they started.

That’s because of visual data fragmentation. Critical insights into physical asset health, spatial context, and exact location data remain disconnected. They are trapped across siloed GIS systems, disjointed image repositories, and computer vision pilots that show promise but never seem to scale.

Discover how utilities can overcome the upstream challenges that hinder the shift from reactive maintenance to proactive, data-driven asset investment. In this on-demand session, GE Vernova experts share practical, real-world strategies for combining geospatial and visual data to predict asset failures, improve decision-making, and create a unified, high-fidelity view of the grid at scale.

What You Will Learn:

- Breaking Visual Data Silos: How to overcome the fragmentation of LiDAR, drone, satellite, and registry data that currently prevents a comprehensive, visual record of grid performance.
- Addressing Upstream Dependencies: Strategies to identify and resolve the hidden bottlenecks in image processing and data fusion that block the shift from reactive to proactive investment planning.
- Moving Beyond Pilots: How to transition from isolated computer vision experiments to scalable, visual AI programs that deliver real-world ROI across the enterprise.
- Unifying Visual Intelligence: Practical approaches to achieving a truly unified spatial and visual view of the grid (digital twin) that empowers better planning and operational decision-making.

Webinar Speakers

Arun Janarthanan
Sr. Manager- Utility Client Services Infosys

Brian E. Hoff
Vice President of Product Management Grid Software, GE Vernova