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Zach Price
Data Scientist National GridZach Price has been a Data Scientist at National Grid for a little over a year. Prior to this, he worked as an intern within his current team while pursuing a graduate degree in Data Science at the University of Washington. In his free time, Zach is an avid sports fan; he enjoys participating in and watching a variety of athletic activities. Originally from Pennsylvania, he now resides in Boston.
Main Conference Day 2 - February 25, 2026
12:00 PM Case Study: AI-Driven Asset Intelligence: A New Framework for System Health and Planning
National Grid has designed a unique approach to asset intelligence, building a unified Asset Health Index, a mathematical framework powered by generative AI and ensemble modelling, to support long-term portfolio optimization and strategic planning. Rather than predicting when an asset will fail, the index provides probabilistic insights into asset end-of-life scenarios over five-year horizons, enabling smarter budgeting, material procurement, and capital project prioritization.
Attendees will learn how generative AI and ensemble modelling are used to extract structured data from field reports, visual inspections, and engineer comments, feeding into a system that produces standardized scores and prediction intervals. The framework emphasizes transparency and flexibility, allowing leadership to assess system-wide health across regions and asset classes using a common language of risk.
Rather than aiming to predict maintenance needs, the team deliberately chose not to pursue this path, highlighting the limitations of historical data, regulatory variability, and shifting budget priorities. Instead, the focus is on building a universal language of asset health that informs decisions without overpromising precision, offering a scalable, future-proof model for organizations navigating complex infrastructure and asset planning.
Check out the incredible speaker line-up to see who will be joining Zach.
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