-    Emphasizing how top-down leadership and clear strategy accelerate digital adoption
-    Sharing real-world culture change tactics that break down silos and empower employees to embrace new technologies
-    Demonstrating ROI metrics used at the C-suite level to track digital transformation progress
 

-    Sharing how they aligned digital initiatives with business goals at each stage for end-to-end transformation
-    Discussing governance and collaboration approaches that ensure IT/OT convergence and enterprise-wide data sharing.
-    Outlining the necessary talent, processes, and technology to develop a cohesive digital roadmap
 

-    Examining common pitfalls that cause promising AI/IoT pilots to stall out and revealing tactics to scale a pilot to sites successfully
-    Demonstrating how to achieve enterprise scale without sacrificing reliability or safety
-    Providing change management tips that ensure new digital solutions are adopted on the frontlines
 

-    Edge Computing – Real-Time Intelligence at Remote Sites for production optimization.

-    AI-Driven Predictive Maintenance Cuts Downtime

-    Refinery Optimization using Digital Twins

-    Accelerating analytics and breaking down data silos by providing a roadmap to improve data accessibility
-    Illustrating how modern cloud architecture enables real-time insights across drilling, production, and refining operations
-    Sharing best practices in data governance and security implemented during the migration
-    Demonstrating how a strong cloud-based data foundation directly delivers business value and agility

-    Using generative AI for knowledge management and decision support in the field

-    Safety 4.0” – Tech-Enabled Safety and Risk Management

-    Building data foundations, breaking silos through data standards, and enabling enterprise analytics.

-    Data Platforms and Interoperability: Foundations for Insight
 

-    Exploring recent cyber threat scenarios highlighting vulnerabilities in connected oilfield operations
-    Sharing a multilayered cybersecurity strategy from securing edge devices and SCADA systems to cloud threat monitoring
-    Providing a cybersecurity roadmap with actionable guidance on compliance incident response planning and vendor risk management 
 

-    Sharing digitized operations that implement AI for process optimization and pipeline operators employing IoT for leak detection
-    Discussing “autonomous operations” milestones to understand what is possible in the near term for hands-off operations
-    Describing how digital twins, advanced analytics, and robotics have improved safety compliance and incident response times in plants and distribution
 

-    Painting a vision of the “digital oilfield of the future” where AI algorithms, IoT sensor networks, and robotics work in concert to run facilities with minimal human intervention
-    Discussing current progress drawing on an example of an onshore production site that automated routine tasks
-    Identifying technology convergence points needed to enable autonomy
-    Providing business leaders with a clear view of what processes and policies they should start developing now to support a move toward semi-autonomous operations
 

-    Sharing frameworks for evaluating the true ROI of digitalization, including often overlooked benefits beyond simple cost-cutting
-    Adopting models to quantify and communicate the value of AI, IoT, or cloud initiatives to senior management and stakeholders
-    Prioritizing competing digital projects by calculating expected value vs. complexity
 

-    Learning from a top executive’s experience in scaling digital innovation enterprise-wide
-    Emphasizing “innovation infrastructure” – discussing how to set up the right teams, funding mechanisms, and governance to continuously drive new digital projects
-    Offering practical advice to tech leads on modernizing core infrastructure without disrupting ongoing operations
-    Highlighting metrics for sustained success to measure and maintain momentum beyond the initial project or “honeymoon” phase of digital transformation
 

-    Demystifying generative AI (LLMs) with real use cases moving beyond the hype to practical applications
-    Addressing the challenges and limits and how to mitigate them
-    Investing in talent and partnerships to leverage generative AI effectively in the next 12–18 months
 

Each round table covers a different topic, allowing attendees to select which one to join. Round table leaders will begin with a 5-minute introduction of themselves and a brief overview of the topic, which can include a case study, lessons learned log, or industry update. They will then facilitate a 40-minute discussion with the group, encouraging feedback and questions. The last 10 minutes will focus on agreeing on five industry recommendations. These recommendations will be shared with the entire audience and summarized in the post-event report.

1. Exploring practical pathways to scale AI/ML projects from pilot to enterprise-wide implementation.
    
2. Addressing how to equip teams with the mindset and skills needed to thrive in digital-first operations.
    
3. Tackling the unique challenges of securing industrial networks and legacy OT infrastructure.
    
4. Establishing trust, quality, and accessibility in enterprise data through effective governance frameworks.
    
5. Unpacking lessons learned in rolling out, maintaining, and integrating IoT sensors across field assets.
    
6. Assessing the organizational, technological, and cultural readiness for semi- or fully autonomous operations.
    
7. Exploring how AI and digital tools can drive measurable emissions reductions and environmental compliance.
    
8. Identifying the critical competencies and training approaches to future-proof the energy workforce.
    
9. Discussing how standards like OSDU enable interoperability, scalability, and vendor-neutral ecosystems.
    
10. Ensuring responsible AI development with policies for bias mitigation, transparency, and data ethics.

-    Examining strategies to upskill oil & gas teams for digital tools so that the workforce fully utilizes technology investments
-    Sharing successful training and reskilling programs on how to design engaging training that bridges skill gaps
-    Managing resistance and driving adoption to foster a culture that embraces change rather than resists it
 

-    Digital Sustainability – Cutting Emissions with Tech

-    Data Platforms and Interoperability: Foundations for Insight

-    Field-to-Cloud: Architecting Future-Ready Infrastructure
 

-    Discussing successful collaborations with technology firms, startups, and even cross-industry allies to accelerate digital solutions
-    Exploring decision criteria for developing in-house digital capabilities versus leveraging vendors or open source
-    Avoiding common partnership pitfalls and creating win-win arrangements that deliver tangible results
 

-    Cross-Industry Insights – Learning from Manufacturing’s Digital Journey

-    Refinery Turnarounds with Predictive Simulation Tools

-    Discussing emerging technologies expected to shape the industry to vision of how today’s pilot technologies could become standard tools tomorrow
-    Exploring how business processes and workforce roles might evolve with increasing automation and intelligence in the field
-    Recommend what companies should start doing now to be ready to future-proof their organization