D
Track D · AI, Digital Infrastructure & Grid Intelligence
Which AI applications are ready for grid deployment today, and which still need more data and governance maturity?
Thursday, November 510:15 – 11:30
Speakers
Ahmed Mousa
Senior Manager - Utility of the Future - Electric & Gas Asset Strategy
PSEG NJ
Hendrik Hamann
Chief AI Scientist
Brookhaven National Laboratory
Christopher Cheng
Program Manager
NYSERDA
Jim Misewich
Associate Laboratory Director
Brookhaven National Laboratory
Yuzhang Lin
Associate Professor, Department of Electrical & Computer Engineering
NYU Tandon School of Engineering
About This Session
Speakers will explore what governance models are needed to support AI deployment, data validation, cyber readiness, and system interoperability as utilities adopt digital tools at scale. With panelists spanning academic engineering leadership, utility asset strategy, national laboratory AI research, and state energy program management, the discussion tests how much of the AI promise in grid operations is ready for deployment today versus still constrained by data and governance gaps.
Key Questions Explored
- Which AI applications are ready for grid deployment today, and which still need more data and governance maturity?
- What does it take to build trust in AI driven decisions among utilities, regulators, and the public?
- How should cybersecurity and interoperability standards evolve as AI tools become more embedded in grid operations?
- What governance models will allow innovation to move quickly without compromising system reliability?
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