GenAI in Action: What Worked, What Didn’t — Lessons from the Front Lines
As utilities accelerate their exploration of Generative AI, it’s essential to learn from real-world experience—what has delivered value, what’s fallen short, and what factors have made the difference. This session invites community members into a practical and open discussion centered around GenAI use cases in utility operations.
Join us for an interactive Generative AI Community Conversation where utility practitioners will walk through key use cases, share lessons learned, and help differentiate where and how GenAI is truly driving business value—versus traditional AI approaches. Together, we’ll identify tangible insights, avoid common pitfalls, and explore the strategic and operational ingredients needed for success.
Whether you’re piloting your first GenAI solution or refining your enterprise-wide roadmap, this session will leave you with actionable takeaways grounded in lived experience.
Session Format: 4-Tier GenAI Use Case Breakdown
A guided group discussion designed to surface real-world insight, practical lessons, and tangible next steps through a four-part exploration of each use case shared:
1. Use Case Context:
• What business problem or process were you addressing?
• How was this opportunity identified?
2. Data Landscape:
• What data challenges did you face (access, quality, volume, privacy, etc.)?
• How were these addressed?
3. O&M and Capital Cost Considerations:
• How did you assess or calculate the value of this use case?
• What cost factors influenced your approach?
4. Technology Choices:
• What GenAI or traditional AI technology did you use?
• What worked well and what would you do differently?
Participants will share insights across these four tiers, leading to a focused group discussion on:
• The top three things that made their GenAI use cases successful
• The top three things they would avoid or rethink
• Clear distinctions between where GenAI created value versus traditional AI
