Roundtable leaders will open these highly interactive, peer-driven roundtables 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.

Each roundtable covers a different topic, allowing attendees to choose the discussion most relevant to them.

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 in the post-conference report.

Choose one topic that aligns with your most urgent priority.

Topic subject to change

1. From Pilot to Production: What Actually Helps a Use Case Scale? 
2. Building an AI-Ready Data Foundation: Governance, Lineage, and Business Ownership - Ram Seetepalli, Director, AI & Digital Solutions, Motiva Enterprise LLC
3. OT, IT, Cloud, and Edge: Where Integration Still Breaks Down 
4. Agentic AI in Operations: Where Human-in-the-Loop Still Matters Most 
5. Choosing the Right Model, Tool, and Architecture for the Job 
6. How to Measure ROI for AI, Automation, and Digitalization in Real Operations 
7. Digital Twins After the Hype: Where They Still Deliver Operational Value 
8. Drone, Sensor, and Visual Analytics: What Actually Works in the Field 
9. Field IoT and Edge Telemetry: Building the Data Capture Layer for Future AI 
10. Operationalizing AI in a Regulated, Asset-Heavy Business: Governance That Enables Rather Than Blocks 
11. Safety, Cybersecurity, and Reliability in More Autonomous Operations 
12. Workforce 2030: Reskilling, Role Redesign, and Protecting Critical Expertise – Julie Thyne, Dow
13. Standardizing Asset Data Across Sites Without Locking Yourself Into One Vendor 
14. Physical AI in Industry: Connecting Robotics, Sensors, and Decision Systems 
15. Future-Proofing the Operating Model: What to Standardize Now for the Next Wave of AI