• Quantifying Appalachia’s power needs for AI compute and mapping where new capacity can come online fastest.
• Positioning natural gas and LNG growth to support data center loads while balancing reliability and emissions.
• Translating DOE and NETL priorities into clear project timelines, interconnect steps, and funding routes.
• Coordinating operators and midstream to align deliverability, pipeline constraints, and grid buildouts for near-term wins.

· What “production ready” looks like for AI in upstream, midstream, and downstream

· Playbooks that move use cases past pilots, including data, guardrails, and change management

· Measuring business impact, safety, and reliability without slowing delivery

· Governance that keeps humans in the loop and meets regulatory and customer expectations

• Consolidating scattered data and shadow warehouses into a governed model so teams stop living in Excel.
• Building future-state semantic models and warehouse tables first so reports migrate weeks before go live.
• Plumbing WellView and other streaming sources on Day 1 so analytics continue without disruption.
• Freeing stakeholders from rebuild churn with ready-to-use reports that scale cost and performance insights immediately.

• Confront the shrinking window to adopt AI and digitalization before today’s opportunities become tomorrow’s constraints.
• Close the digital gap by moving laggards toward proven practices from early adopters.
• Integrate online data with offline data to unlock actionable insight.
• Deliver measurable gains in flow assurance, risk management, and reservoir characterization through midstream and upstream case examples.

Each round table covers a different topic, allowing attendees to select which one to join. Round table leaders will begin with a 5-minute introduction of themselves and a brief overview of the topic, which can include a case study, lessons learned log, or industry update. They will then facilitate a 40-minute discussion with the group, encouraging feedback and questions. The last 10 minutes will focus on agreeing on five industry recommendations.

1. Pilot to Portfolio in Gas Operations - Konrad Konarski, Ai Applied Consortium
2. Turning failed pilots into progress - Joe Sinnott, Witting Partners
3. Cybersecurity Architectures for Pipelines and Plants that Operations Accept - Jungwoo Ryoo, Penn State DuBois

• Aligning roles and rewards for supervisors, controllers, and technicians so adoption sticks.
• Measuring usage and value with a few simple metrics so leaders scale what works and stop what does not.
• Coaching digital fluency on the job so productivity rises without extra steps.

• Implementing AI-powered advanced process control to maximize NGL recovery and minimize energy consumption
• Building dynamic digital twins that allow operators to simulate plant upsets and test responses safely
• Calculating the hard dollar benefits of AI-driven optimization to secure project funding in a single budget cycle.

· Pressure-testing AI narratives without sounding anti-tech or anti-progress

· Anchoring digital strategy to operational potential—not organizational FOMO or false choices

· Distinguishing disruptive breakthroughs from over-hyped promises and agenda-driven gaslighting

· Quantifying the ROI of AI pilots, platforms, and conferences competing for your time, capital, and attention

• Quantify production-signature patterns that reveal stimulated rock volume behaviour
• Apply a Viola Jones feature framework with AdaBoost to flag underperforming unconventional wells
• Prioritise restimulation targets with a repeatable workflow that links time series data to field action
• Show outcome metrics that translate analytics into uplift and cost per barrel saved

· Mapping the pipeline: Jira to AI summaries to standardised docs to searchable KB to chatbot

· Setting guardrails: role-based access, validations, and audit trail to keep trust high

· Proving value: mean time to resolution, escalation rate, and duplicate tickets reduced

· Meeting the business where it is: change tactics that drive frontline adoption

· Capturing high-resolution flowback data in real time to improve choke management, fluid recovery efficiency, and well cleanup performance.

· Integrating emission metrics and operational data into digital dashboards for ESG reporting, regulatory compliance, and continuous optimization.

· Transforming early-life well operations into a data-driven process that aligns environmental stewardship with production performance.

A facilitated, whole room working session

· Surfacing how attendees are monitoring model performance in production

· Sharing simple rollback, redeploy, and change-control practices that have worked in operations

· Comparing approaches to integrity data flows and reporting for gathering and transmission

· Agreeing three practical checks teams can apply in the next 90 days