How to Move AI from Pilot to the Utility Control Room

WEBINAR ON DEMAND
Duration: 1 hour


In a recent survey of 150 senior utility executives, nearly 40% of the respondents had already moved to advanced stages of AI deployment and 97% said they expect AI investments to increase over the next 3 years. But moving from a controlled pilot in a sandbox to scaled production on aging infrastructure requires more than a belief that AI can improve operations, decision making, investments, and grid reliability. 

Utilities are clear-eyed about the challenges. 92% say legacy system integration is a top barrier to AI adoption and 91% cite worries about AI tools hosted on public cloud infrastructure. This webinar answers practical questions about how to move AI from a promising abstraction to a beneficial reality and what utilities making the most progress have in common. It will address the:

  • Pilot-to-production gap
  • Challenges of legacy systems and data
  • Importance of evaluating vendor infrastructure
  • Reason why AI systems should be built on utility operational data, not general models 

SPEAKERS

Abhimanyu Thakur
Abhimanyu Thakur
Vice President of Advanced Platforms, Visualization & Analytics, OATI
 


Gopakumar Gopinathan
Gopakumar Gopinathan
​
Senior Advisor for Power Systems Technology Development, CAISO
 

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