-    Unpacking the clash between legacy methods and digital transformation
-    Standoff Against Progress: What’s really slowing adoption – despite overwhelming data
-    Humans in the Crossfire: Redefining value and purpose in an AI-driven world
-    From Combat to Collaboration: Designing digital ecosystems that empower, not compete with the workforce
 

-    Translating keynote insights into practical initiatives that accelerate technology adoption and value creation across the energy value chain.
-    Building and coach high-performing teams equipped to tackle emerging digital challenges with clarity and confidence
-    Bridging digital roadmaps with corporate objectives to ensure every transformation effort delivers measurable business impact.
-    Cultivating a culture of rapid change readiness equipping leaders to pivot, learn, and scale solutions in dynamic operating environments.
 

-    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
 

Building a successful AI system requires time, but the process is also a journey full of choices. Instead of a typical slide deck, this session presents a case study as a visual story, using a “choose-your-own-adventure” format to explore the different paths a project can take. We will follow a team through a hypothetical AI use case, from start to finish. Along the way, we will explore how decisions about strategy, technology, and people can shape the result.

-    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
 

• From Blind Spots to Full Visibility: Transforming Field Operations Through Zero-CAPEX SCADA Deployment 
  Nikita Chugunov, Siena Natural Resources
   
• Edge Computing – Real-Time Intelligence at Remote Sites production optimization.
   
• Oil recovery with waterflooding as an intelligent system
  Santiago Arrubla, Ecopetrol
   
• 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
     Harry Mozafari, SABIC specialties
      

-    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 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
 

-  Exploring how the Railroad Commission is modernizing permit workflows and field inspections through online portals, mobile data capture, and real-time dashboards to reduce turnaround times and boost compliance.
 

-    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
 

•    Exploring how OSDU’s open, cloud-native data platform can break down silos between subsurface, wells, and production systems to enable one-view dashboards for executives and operators.
•    Leveraging OSDU APIs to consolidate disparate geological, drilling, and production datasets in real time
•    What governance models ensure data quality and lineage across multi-vendor environments?
•    How can strategic planners use OSDU-powered analytics to inform capital allocation and M&A decisions?

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.
   Patrick Lamb, Trifork
    
2. Addressing how to equip teams with the mindset and skills needed to thrive in digital-first operations.
   Sean Barnes, Wolf Executives
    
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.
   Jason Stanley, Position Green
    
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. Tammy Hong, Berkana Resources
    
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.
     
11. Closing the Loop: Connecting BPM, RPA, and AI for End-to-End Process Visibility in Energy
    Alicia Good, SS&C Blue Prism

-    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
 

-    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
 

-    Low-Code Patterns for AI: Templates, Guardrails, Governance
     Jon Sullivan, OutSystems | Travis Cavanagh, Accelerated Focus

-    OMV's Information Management Journey to Efficiency and Compliance
     Daneen Storc, M-Files

-    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
  Tosin Odetola, Dow
• Refinery Turnarounds with Predictive Simulation Tools
• Edge Computing – Real-Time Intelligence at Remote Sites production optimization.
• Unlock Productivity & Performance through Mobile-Enabled Field Teams and Improved Asset Data
  Patrick Lamb, Trifork

- Digitalization journey
- Foundation and corporate strategy
- How to integrate AI in a digital transformation
- Real life examples, applications, and next steps on the journey

-    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