Move from presentation to problem-solving in these highly interactive, peer-driven roundtables. Each roundtable covers a different topic, allowing attendees to choose the discussion most relevant to them.

Roundtable leaders will open 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. 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 the post-conference report.

Choose one topic that aligns with your most urgent priority.

• Building Your AI Center of Excellence: Scope, Charter, and RACI
• Proving AI's Bottom-Line Impact: From Unit Economics to Portfolio ROI
• Fueling GenAI with OSDU: Taxonomies, Security, and Speed
• Governing Autonomous Agents: Approval Matrices, Audit Trails, and Rollback - Michael Bachman, Boomi
• Winning Hearts and Minds: Change Management for AI on the Frontlines - Mathias Klinkby, Noble Corp 
• The Data Defects That Derail AI: Prioritizing Quality for Trusted Answers
• Your AI Vendor Blueprint: Build, Buy, or Bolt-On for 2026-2028
• LLMs vs. Small Models: Matching the Tool to the Operational Task
• AI at the Edge: Solving Power, Connectivity, and Harsh Environment Challenges
• The AI-Powered M&A Playbook: Rapid Data Integration in the First 12 Weeks
• The AI Purchasing playbook – The Perspective makes all the difference - Peter Dill
• Leveraging AI to Lead at Scale - Sean Barnes, Wolf Executives
• Taming the 'LLM Mess': Orchestrating a Secure, Multi-Model Strategy for Oil & Gas - Catalina Herrera, Dataiku