• AI-driven demand transforming regional energy infrastructure 
• Digital priorities across utilities and oil & gas 
• Aligning technology investments with operational goals 
• Building resilient and connected energy ecosystems 

• Prioritize high-value AI use cases that improve production and reduce operating costs 
• Measure ROI and business impact to shift the conversation from cost avoidance to sustained value 
• Build phased implementation strategies that sequence quick wins alongside longer-term change 
• Balance the pace of innovation against operational risk tolerance and safety requirements 
• Secure board-level sponsorship for enterprise-wide digital transformation programs

• Breaking down data silos across operations, engineering, and production systems
• Modernizing historians, SCADA, and legacy OT to support enterprise AI 
• Creating trusted, governed datasets that enable AI to scale beyond pilot projects  
• Establishing data standards and governance to improve collaboration and accelerate innovation 

• Define clear ownership for digital initiatives across traditionally separate business functions 
• Break down organizational silos that slow cross-functional alignment and digital success 
• Align competing priorities between technology teams and day-to-day operational demands 
• Create governance models that give every stakeholder a voice in the outcome 

• Deploy continuous sensor monitoring to detect methane and emissions in near real time. 
• Reduce the risk of gas leaks and unplanned releases through early, automated detection. 
• Strengthen emissions reporting accuracy to meet growing regulatory and investor expectations. 
• Turn environmental monitoring data into operational insight rather than a standalone compliance exercise.

Roundtable leaders will open these highly interactive, peer-driven roundtables with a brief 5-minute introduction and a short overview of the topic, which can include a case study, lessons learned, or an industry update. 

Each roundtable covers a different topic, allowing attendees to choose the discussion most relevant to them. 

This is followed by a 30-minute peer discussion, with the leader facilitating questions, feedback, and practical exchange. The final 5 minutes are dedicated to aligning on five clear industry recommendations which will be included in the post-conference report. 

Choose one topic that aligns with your most urgent priority.  

1. From Back Office Automation to Operational Intelligence: Where AI Creates the Greatest Value 

2. Building AI Guardrails: Enabling Innovation Without Compromising Security 

3. Reskilling for a Converged Workforce: What's Actually Working on the Ground 

4. Vetting AI Vendors: Avoiding Tool Sprawl Across a Growing AI Portfolio 

5. Why Smaller Operators Are Moving Faster: Lessons in AI Agility 

6. AI Across the Utility Value Chain: From Generation to Customer Operations 

• Establishing governance, policies, and AI guardrails across the enterprise 
• Balancing innovation with cybersecurity and data governance   
• Defining the right balance between human expertise and AI-assisted decisions 
• Developing policies that enable safe and scalable AI deployment

• Applying AI to wellsite optimization and production operations  
• Improving operational efficiency through real-time intelligence  
• Using AI to support faster engineering and production decisions  
• Practical applications across Appalachian natural gas assets 

• Address PJM capacity constraints driven by accelerating data center load growth. 
• Explore behind-the-meter gas generation as a near-term reliability and speed-to-power solution. 
• Balance the speed of deployment against long-term grid stability and safety obligations. 
• Examine what regional utilities and operators are doing differently to keep pace. 

• Address the expanding attack surface created by automation and connected assets. 
• Apply human-in-the-loop and audit trail controls to AI-driven operational decisions. 
• Navigate NERC CIP and related regulatory requirements without slowing innovation. 
• Share incident response lessons drawn from real OT security events.

• Move from reactive response to predictive, prioritized intervention 
• Reduce unplanned downtime through earlier detection of equipment degradation 
• Extend asset life through predictive insights rather than reactive repair cycles 
• Address the data and integration barriers that delayed early progress

• Leveraging computer vision to monitor remote operations 
• Detecting safety risks, security threats, and abnormal field events 
• Reducing field visits while maintaining operational visibility 
• Industry-specific AI for smarter, safer energy operations 

• Reskilling employees for an AI-enabled workforce 
• Build training programs that move beyond compliance into genuine day-to-day adoption 
• Balancing innovation with ethics, accountability, and trust 
• Creating a culture that embraces AI-enabled ways of working

• 2:15-2:30 - Everyday AI: Enabling Copilot, Gemini, and Low-Code Agents Across the Enterprise 

• 2:30-2:45 - The Next Frontier: Agentic AI and Autonomous Workflows 

• 2:45-3:00 - Vetting AI Before It Enters the Enterprise: Vendor Risk and Procurement in the AI Era 

• Distinguish digital twins delivering real operational value from those stuck in pilot mode. 
• Apply twin modeling across plant assets, pipelines, and grid substations. 
• Address the data and integration of work required before a twin adds value.  

• Moving beyond machine learning to intelligent autonomous agents 
• Understanding how AI changes competitive advantage and operating models 
• Identifying breakthrough applications with transformative potential 
• Weigh the opportunities and risks as agentic AI moves from concept to deployment.