-    Understanding why establishing reliable data infrastructure, organizational culture, and workforce readiness to avoid failures and ensure smoother scale-up
-    Exploring real-life examples from adjacent sectors to reduce trial-and-error and boost ROI
-    Balancing new technologies with existing solutions to maximize efficiency and minimize operational disruptions
-    Identifying and prioritizing end applications that deliver the highest ROI to secure stakeholder buy-in and drive tangible results
 

-    Building robust data strategies, connect workforces, and adopt AI in phases to advance the shift toward cleaner energy
-    Using proven approaches from finance, healthcare, and manufacturing to solve unique energy-sector challenges more efficiently
-    Blending legacy systems with new renewable initiatives to accelerate sustainable operations and streamline transition efforts
 

Attendees can visit sponsor booths where sponsors showcase actual use cases and tools

-    Measure returns on AI, from quicker deployments to cost savings, to validate ROI and secure leadership buy-in
-    Co-investing in shared data platforms and robust infrastructure for scalable growth and reduced risk
-    Distributing costs and risks among partners when developing common AI applications to foster collaboration and efficiency
 

The lightning rounds will showcase case studies from speakers who each have 15 minutes to present their update on the Problem, challenge + solution. 

• From Paper to Insights: Unleashing AI for Smarter Land Systems
  Dean Ruston, Pandell Technology
  Michelle Uzick, Pandell, an ESG Company
• Enhancing operational efficiency with virtual simulations
• System Optimization for Complex Natural Gas Systems 
  Amanda Chan, TC Energy
  Jeff Stoffregen, TC Energy

Sponsors remain available for deeper Q&A and live product trials at their booths

-    Demonstrating how major Canadian operators overcame unique environmental and regulatory challenges, providing practical best practices for others to follow
-    Highlighting success stories from local operators that deliver tangible ROI and operational efficiencies, enabling direct replication in similar projects
-    Showing how region-specific workforce dynamics and supply chain considerations shape AI adoption, offering actionable insights for stakeholders seeking to replicate these successes
 

-    Using algorithms to predict optimal timing for well intervention
-    Enhancing the predictive models and improve accuracy over time, ensuring ongoing reliability with larger datasets
-    Minimizing the requirement of human interpretation and manual tasks

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. Data Management and Analytics Challenges
   Juan Carlos Cabanillas Leon, Cenovus
2. Workforce Transformation and Skill Development
3. Regulatory and Compliance in Digital Energy
4. AI Skill Gap: Training and Education Strategies
5. Cybersecurity Frameworks for Energy Companies
6. Maximizing ROI on AI Investments
   Aarti Raman, Petronas Canada
7. Ethical AI: Developing Responsible AI Policies
8. AI and Beyond: Emerging Tech for Energy
   Ashley Weir, SLB
9. AI-driven emissions monitoring, carbon footprint tracking, and net-zero strategies
   Bruce Duong, Alberta Innovates
10. Moving from successful pilot to full deployment
11. Harnessing Big Data and AI for Energy Optimization
    Mathew Duffy, Data Elephant
    Stephen Gibson, Data Elephant
12. The Future of Energy: Leveraging Intelligent Automation and Generative AI - session by SS&C Blue Prism
13. Managing Risk with Digitization and AI: What Works and What Doesn't
    Trevor Nimegeers, ITRAK 365

-    Exploring some of the reasons why data governance programs launch but struggle to return value on corporate investment. 
-    Understanding the value and importance of successful data governance programs, and mechanisms by which this value can be recognized. 
-    Exploring ways in which working collectively can help corporate data governance programs position for success.

-    Clarifying AI vs. Generative AI for stakeholders unfamiliar with the nuances, ensuring well-informed decisions about technology strategies
-    Showcasing how AI technology stands today and highlighting realistic applications in oil and gas, offering immediate use-case potential
-    Providing practical steps to build data infrastructure and identify small, high-impact projects, enabling a smoother AI adoption journey.
 

-    Demonstrating AI’s value by highlighting potential efficiency gains, cost savings, and innovation, securing stakeholder support and confidence
-    Overcoming resistance by addressing common concerns about AI adoption and explaining its benefits in accessible terms, building trust at all levels
-    Applying proven change management methods to achieve cross-functional buy-in from executives to field operators, ensuring successful implementation
 

-    Deciding whether to build in-house AI or buy off-the-shelf, ensuring it aligns with your specific business needs, available resources, and long-term goals
-    Avoiding falling for the latest tech trends without a solid business case, staying focused on impactful and strategic AI investments
-    Learning from real-life examples of companies that made both successful and unsuccessful build-or-buy decisions, offering valuable insights for your own AI strategy
 

-    Prioritizing worker protection and operational needs over technological novelty
-    Transitioning from pilots to enterprise-wide adoption by focusing on human factors, clear change champions, and seamless integration
-    Achieving full ROI through 100% user adoption with intuitive interfaces and frictionless experiences
 

-    Discussing the essential skills required for AI deployment and data management to ensure robust operations, compliance, and innovation
-    Focusing on upskilling current employees in data science, cloud management, and cybersecurity to maximize internal expertise and drive seamless adoption
-    Exploring  collaborative training programs and partnerships with educational institutions to build a sustainable pipeline of skilled professionals for future growth
 

-    Understanding how RAG LLMs deliver real-time safety data directly to field personnel.
-    Exploring success stories that demonstrate tangible ROI and enhanced operational efficiencies
-    Practical insights to replicate these best practices across your projects
 

-    Using AI to enhance the bottom line with improved efficiency, cost savings, and new revenue streams, ensuring tangible financial gains
-    Minimizing operational hazards and cybersecurity threats through AI insights, creating a safer and more resilient environment
-    Exploring real examples of AI-driven ROI and safer operations, providing proven methods for responsible AI adoption
 

-  Discovering how Private Wireless Networks enable secure, high-speed data collection essential for successful AI deployments.
-  Exploring the role of real-time connectivity in driving predictive maintenance, autonomous operations, and safety enhancements.
-  Understanding how robust wireless infrastructure transforms operational data into actionable AI-driven insights.
-  Examining practical use cases demonstrating improved safety, compliance, and operational efficiency through AI powered by Private Wireless Networks.

-    Learning how risk management, collection strategy, and meticulous cleaning and transformation set the stage for robust AI models
-    Discovering how tools like PECL Digital Field and Data Definition enhance data annotation, validation, and overall quality
-    Tackling issues with SCADA/meter data through insights drawn from a detailed PECL case study
-    Understanding how best practices in data preparation directly impact model accuracy, effectiveness, and value
 

-    Automating repetitive tasks and analyzing large datasets so employees can focus on high-value work, driving greater productivity and innovation
-    Merging human expertise with AI-driven insights to boost efficiency and quality, creating a balanced human–machine collaboration
-    Real-world examples of AI tools and processes that have successfully augmented workforce capabilities in energy operations, providing proven models for transformation

This unique, audience-driven panel discussion is designed to tackle the most pressing digitalization challenges in the oil and gas sector — in real time. Unlike traditional panels, this impromptu session puts the power in your hands: attendees will identify the topic, nominate themselves or colleagues, and shape the conversation as it unfolds.
How the Session Will Run:
-    The Chair will kick off the session by outlining the format and inviting the audience to identify key challenges or topics they’d like the panel to address
-    Using Sli.do, attendees will submit and upvote topic ideas. The highest-ranked topic will become the focus of the discussion
-    Attendees can nominate themselves or colleagues with relevant expertise to join the panel, forming an ad hoc team of experts
-    The Chair will guide the panel as they explore the selected topic, offering practical solutions, real-world insights, and debating approaches to overcome obstacles.
-    The audience is encouraged to participate actively by asking questions, sharing experiences, and contributing ideas, fostering a collaborative environment
-    The Chair will summarize the session, highlighting the most impactful insights and actionable strategies shared during the discussion
 

The lightning rounds will showcase case studies from speakers who each have 15 minutes to present their update on the Problem, challenge + solution. 

-    Enhancing operational efficiency with Digital Twins
     Linnea Russell, SLB
-    Data Privacy and Security: Balancing the Need for Standards with Speed
     Prashant Prashant, Fortune 500 Oil & Gas Company
-    Exploring how AI-driven tools enable front-line workers and leaders to “do more with less"
     Shannon Paiement, Torxen Oil & Gas
-    Intelligent Connectivity: Digitalization in Critical Communication
     Ignacio Callen, PowerTrunk

-    Transferring best practices from healthcare, finance, and manufacturing to cut down trial-and-error and accelerate AI implementation
-    Overcoming “not invented here” syndrome to speed up adoption and foster cross-functional support
-    Embracing continual learning from other sectors as AI evolves to future-proof your technologies and maintain a competitive edge

-    Using predictive analytics to forecast demand and reduce inventory bottlenecks with AI-driven insights, ensuring cost savings
-    Streamlining logistics integration for real-time visibility and resource optimization, enhancing operational efficiency
-    Developing collaboration essentials through data-sharing agreements and cross-functional teams to unify efforts and accelerate supply chain AI success

-    Leveraging SMEs' agility and responsiveness to drive innovation and project success.
-    Overcoming traditional procurement barriers that impede effective collaboration between small businesses and large energy producers.
-    Implementing engagement strategies that foster mutually beneficial partnerships and sustainable growth.