Each round table has a different topic, and attendees can select the round table they want to participate in. Round table leaders will spend the first 15 minutes meeting the delegates and providing a case study/lessons learned log/industry update and then moderating a 30-minute discussion with the group where they can give feedback and ask questions. The final 10 –15 minutes will be spent agreeing on 3 -5 industry recommendations. A selection of these recommendations will be shared with the whole audience, and all of them will be summarized in the post-event report.

1. Adapting AI Solutions for Legacy Systems: Overcoming Integration Challenges
   Don Murray, Safe Software
2. Demystifying AI: Bridging the Knowledge Gap
   George Danner, Business Laboratory
3. Data Democratization: Empowering Teams with Data-Driven Insights
   Catalina Herrera, Dataiku
4. Scaling Human Capacity with AI: Meeting the Demands of 24/7 Operations
   Brendan Duda, Worlds
5. Building Trust in AI Models: Transparency and Explainability
   Tanima Dutta, ONGC Videsh
6. Scaling AI Applications: From Pilots to Enterprise-Wide Adoption
   Sean Mee, OutSystems
7. Empowering Middle Management in AI Implementation: Bridging Strategy and Execution
   Sean Barnes, WSS Solutions
8. The Foundation of Trust: Data Quality, Management, and AI Reliability
   Quinn Lewis, Denodo
9. Exploring AI-Driven Predictive Maintenance: Real-World Use Cases
   Justin Swansburg, DataRobot
10. Balancing Automation with Human Expertise in AI-Driven Decision Making
    Gavin Keeler, UiPath
11. Future-Proofing AI Investments: Adapting to Rapid Technological Change
    Dr. Riad Efendi, Technip FMC
12. Using Publicly Available Data to Analyze Hiring Trends and Patterns
    Abhijeet Narvekar, The FerVID Group
13. Predictive Analytics Performance Metrics: Understanding What Success Looks Like
    Ruzbeh Homji, Mechademy
14. The Future of Autonomous AI Agents in Oil & Gas: Governance and Scalability
    Michael Bachman, Boomi
15. Houston, We Have a Solution: Bridging Gaps for Scalable AI & MLOps Innovation
    Pinar Celan, Domino Data Lab
16. AI-Driven Process Optimization for Industrial Automation session
    Karthik Gopalakrishnan, Yokogawa
17. Private AI in Oil & Gas: Balancing Innovation, Control, and Compliance
    Jacob Bengtson, Cloudera