Name
Roundtable Discussions
Date & Time
Thursday, April 9, 2026, 1:30 PM - 2:10 PM
Jeff Monk Michael Maltsev Michael Bachman Mathias Klinkby Jacob Dittenhauser David Crawley Nathan Dube Peter Dill Sean Barnes Catalina Herrera Gavin Keeler Scott Healey Jonathan Doan Olu Obafemi Lesley Ward
Description

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.

  1. Building Your AI Center of Excellence: Scope, Charter, and RACI - Jeff Monk, COHERE
  2. Proving AI's Bottom-Line Impact: From Unit Economics to Portfolio ROI - Michael Maltsev, RigER
  3. Governing Autonomous Agents: Approval Matrices, Audit Trails, and Rollback - Michael Bachman, Boomi
  4. Winning Hearts and Minds: Change Management for AI on the Frontlines - Mathias Klinkby, Noble Corp 
  5. The Data Defects That Derail AI: Prioritizing Quality for Trusted Answers - Jacob Dittenhauser, Syniti
  6. Your AI Vendor Blueprint: Build, Buy, or Bolt-On for 2026-2028 - David Crawley, University of Houston
  7. LLMs vs. Small Models: Matching the Tool to the Operational Task - Olu Obafemi, CGI
  8. Designing the Human-in-the-Loop: Rules for Seamless AI-to-Human Handoffs - Nathan Dube, NTT DATA
  9. AI at the Edge: Solving Power, Connectivity, and Harsh Environment Challenges - Jonathan Doan, ZEDEDA
  10. The AI Purchasing playbook – The Perspective makes all the difference - Peter Dill
  11. Leveraging AI to Lead at Scale - Sean Barnes, Wolf Executives
  12. Taming the 'LLM Mess': Orchestrating a Secure, Multi-Model Strategy for Oil & Gas - Catalina Herrera, Dataiku
  13. Operationalizing Agentic AI across critical business processes in oil and gas. - Gavin Keeler, UiPath
  14. Latest Trends in GenAI for Material Discovery: Separating Hype from Real Value Drivers - Scott Healey, SandboxAQ
  15. Your First AI Project Failed. Now What? Rebuilding Trust After a Stalled Pilot
    Lesley Ward, Novani AI