Name
Roundtable Discussions
Date & Time
Thursday, April 9, 2026, 12:50 PM - 1:30 PM
Mathias Klinkby Sean Barnes Michael Bachman Peter Dill Catalina Herrera Scott Healey David Crawley
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.

  • Building Your AI Center of Excellence: Scope, Charter, and RACI
  • Proving AI's Bottom-Line Impact: From Unit Economics to Portfolio ROI
    Michael Maltsev, RigER
  • 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
    David Crawley, University of Houston
  • LLMs vs. Small Models: Matching the Tool to the Operational Task
  • Designing the Human-in-the-Loop: Rules for Seamless AI-to-Human Handoffs
  • 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
  • The Data Defects That Derail AI: Prioritizing Quality for Trusted Answers
    Session by Syniti
  • Operationalizing Agentic AI across critical business processes in oil and gas.
    Gavin Keeler, UiPath
  • Latest Trends in GenAI for Material Discovery: Separating Hype from Real Value Drivers                               Scott Healey, SandboxAQ