Name
Roundtable Discussions
Date & Time
Thursday, April 9, 2026, 1:30 PM - 2:10 PM
Speakers
Jeff Monk, Cohere
Michael Maltsev, RigER Inc.
Michael Bachman, Boomi
Mathias Klinkby, Noble Corporation
Jacob Dittenhauser, Syniti, Part of Capgemini
David Crawley, UH College of Engineering
Nathan Dube, NTT DATA
Peter Dill
Sean Barnes, Wolf Executives
Catalina Herrera, Dataiku
Gavin Keeler, UiPath
Scott Healey, SandboxAQ
Jonathan Doan, ZEDEDA
Olu Obafemi, CGI
Michael Maltsev, RigER Inc.
Michael Bachman, Boomi
Mathias Klinkby, Noble Corporation
Jacob Dittenhauser, Syniti, Part of Capgemini
David Crawley, UH College of Engineering
Nathan Dube, NTT DATA
Peter Dill
Sean Barnes, Wolf Executives
Catalina Herrera, Dataiku
Gavin Keeler, UiPath
Scott Healey, SandboxAQ
Jonathan Doan, ZEDEDA
Olu Obafemi, CGI
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 - Jeff Monk, COHERE
- 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 - Jacob Dittenhauser, Syniti
- 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 - Olu Obafemi, CGI
- Designing the Human-in-the-Loop: Rules for Seamless AI-to-Human Handoffs - Nathan Dube, NTT DATA
- AI at the Edge: Solving Power, Connectivity, and Harsh Environment Challenges - Jonathan Doan, ZEDEDA
- 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