• Reviewing concrete Canadian operator results in pipeline optimization, production surveillance and back-office automation, with real numbers on uptime, throughput and cost.
• Comparing early pilots with steady state operations to show what sustained value looks like on Alberta and BC assets.
• Highlighting patterns that travel well between mid-size producers, pipelines and power utilities to guide 2026 investment priorities.

• Explaining the technical drivers behind the shift to agentic AI: compute, algorithms, data scale and cost, in language business stakeholders can understand.
• Showing what “agents” actually do on real Canadian use cases, from automating multi-step workflows to coordinating with humans.
• Equipping technologists to explain this shift credibly to CIOs, COOs and regulators.

• Moving beyond generic chatbots to industry-trained models that understand Canadian geology, acronyms and asset taxonomies.
• Connecting domain-specific agents to existing subsurface, drilling and production workflows without disrupting safety or regulatory obligations.
• Lessons from early deployments with Canadian operators on data prep, change management and user trust.

• Sharing quantified results from predictive maintenance, leak detection and commercial optimization on Canadian assets.
• Discussing how Calgary based operators are deciding where to double down, where to pause, and how to stop “pilot sprawl.”
• Comparing governance and investment models in large integrated companies versus mid-size independents.

Three rapid 15-minute talks. One messy data problem, one approach, one result.

• Responsible AI and AI Literacy - Allan Cheung, Enbridge
• Ensuring the First Mile of Data - Jesus Borobia, PowerTrunk
• SLB’s Tela: Agentic AI enabling domain expertise for the subsurface and automated workflows - Steve Dahl, SLB

• Discover how a Canadian industrial services company launched its AI transformation using an internally developed roadmap - without overspending or relying on a large IT team.
• This session highlights two real-world use cases that delivered measurable results for Accounts Payable and other business areas.
• Walk away with actionable insights, lessons learned, and practical strategies to help your organization unlock AI’s potential on a realistic budget.

• Identifying the specific new risks introduced by GenAI and agentic AI for Canadian operators: hallucinations, IP leakage, bias and safety-critical decision support.
• Comparing approaches to guardrails: internal policies, vendor controls, prompt retention, auditability and “kill switches.”
• How legal, cyber, data and operations teams in Calgary are sharing accountability for AI governance instead of passing the buck.

• Defining high consequence events in OT and critical infrastructure, for prioritizing what truly matters, to protect safety, uptime, and public trust.
• Mapping threat vectors and attack paths back to those high consequence outcomes, for focusing controls on real operational risk, to reduce blind spots and wasted effort.
• Applying the CCE methodology to identify critical functions and weakest links, for strengthening resilience, to prevent disruption of essential services.
• Aligning engineering, operations, and cyber teams around consequence based risk decisions, for clearer accountability, to accelerate action without compromising safety.

• How CIOs and technology leaders from Calgary operators are prioritizing AI and digital investments for the next two years.
• Where they see value in working with global vendors versus local specialists and startups.
• What they wish vendors and consultants would do differently when pitching AI to Canadian operators.

• Defining when an AI agent can act, when it must ask, and when it must stop in pipeline, plant and field contexts.
• Designing user interfaces and notifications that engineers, controllers and field staff will actually trust and respond to.
• Building auditability and reversibility into every agent workflow so operations keeps ultimate control.

Rapid 15-minute talks to spark discovery.

• From Agentic AI Pilot to Repeatable Playbook: What Actually Works in Operations - Bryan Kan, ExxonMobil and Hannah Zhao, ExxonMobil
• Machine Learning to Cut Pipeline Power Costs Without Compromising Safety – Fed Briceno and Kevin Wuerstl, Enbridge
• Session by Accelerated Focus - Travis Cavanagh, Accelerated Focus

• Practical governance: guardrails, controls, accountability, and decision ownership
• GenAI risks in operational contexts: accuracy and hallucinations, bias, IP and licensing exposure, and data leakage
• Governance considerations for agentic AI and partial autonomy
• How governance enables adoption while maintaining trust, safety, and compliance

Get a rapid-fire preview of the future in this high-energy session. Six startups will pitch their groundbreaking AI solutions for oil and gas in just six minutes each.

• Seeing how local startups are tackling emissions monitoring, field data capture, workflow agents and industrial AI.
• Understanding pricing, integration effort and typical timelines from pilot to production.
• Voting for the solution you would most realistically trial in your own organization.
• The winner receives a free exhibition space to another ECN conference

For more information, please contact Filipa de Almeida Ribeiro, Partnership Manager, Energy Conference Network

filipa.ribeiro@energyconferencenetwork.com

• Identify one idea you can test in your own team within 30 days.
• Pair up to pressure-test it and commit to a next step.
• Share the best actions via live poll to shape tomorrow’s discussions.

• Moving from scattered initiatives to a clear portfolio tied to Canadian regulatory, emissions and reliability pressures.
• Structuring a simple “funnel” from ideas to pilots to scaled programs that mid-size and large operators can both use.
• How boards, CIOs and business leaders in Canada are aligning on one AI narrative and investment plan.

• Connecting historians, SCADA, ERP and cloud platforms in ways that respect bandwidth, latency and security constraints.
• Using integration platforms and data pipelines to deliver trusted data products to AI teams.
• Lessons learned from projects on Canadian pipelines, gas plants and power facilities.

• Identifying the few AI competencies operators actually need (by role) for avoiding generic training, to improve day-to-day usage.
• Embedding governance into workflows for reducing mistakes, to make adoption safe in control rooms and the field.
• Creating feedback loops between users and model owners for preventing drift, to keep performance reliable over time.
• Standardizing what “good” looks like for scaling faster, to replicate success across assets.

Explore real-world lessons and case studies on how energy leaders design intuitive human-AI interactions, scale impactful use cases, and orchestrate technology across the AI landscape to unlock business value. In this session, we'll dive into the following topics:

• Designing human-AI interactions that drive adoption
• Where Energy organizations typically start, and how they scale to maximize impact
• How to set up an AI technology ecosystem that serves end-to-end business processes

• Using AI on LDAR, satellite and sensor data to cut false positives and focus field crews on real leaks.
• Shortening the time from detection to fix for methane and other emissions under Canadian and provincial regimes.
• Integrating AI workflows with existing environmental management systems and reporting processes.

• Exploring where agentic AI can automate end to end supply chain workflows
• Identifying the highest value “starter use cases” in procurement, logistics, and maintenance supply
• Assessing the data, governance, and operating model guardrails needed to deploy agents safely
• Applying practical lessons on integration, human in the loop design, and change management

• Using chatbots and self-service tools to resolve simple invoice and PO queries without tying up supply chain staff. - Brian Emmerson, EY
• Applying advanced analytics and AI to identify and address risks in procurement and your supply chain. Carl Hammersburg, SAS
• Closing the gap between analytics, recommendations, and real decisions. - Aashnee Kamboj, Nanoprecise Sci Corp

Move from presentation to problem-solving in these highly interactive, peer-driven roundtables. Each roundtable covers a different topic, allowing attendees to choose the discussion most relevant to them.

Roundtable leaders will open 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. 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 to share back with the wider audience.

Choose one topic that aligns with your most urgent priority.

• Starting Your First Agentic AI Pilot Without Over-Promising
  Travis Cavanagh, Accelerated Focus
• Supply Chain and Contractor Management – Using AI Without Breaking Relationships.
• OT Cyber and AI – Joint Playbooks for IT, OT and Security.
• Proving AI's Bottom-Line Impact: From Unit Economics to Portfolio ROI
  Nizar Mohamed, IBM Consulting Canada
• Fueling GenAI with OSDU: Taxonomies, Security, and Speed
  Session by Sia Partners
• Winning Hearts and Minds: Change Management for AI on the Frontlines 
• The Data Defects That Derail AI: Prioritizing Quality for Trusted Answers
  Stephen Petch, Wrench Solutions
• Your AI Vendor Blueprint: Build, Buy, or Bolt-On for 2026-2028
• LLMs vs. Small Models: Matching the Tool to the Operational Task
• AI at the Edge: Solving Power, Connectivity, and Harsh Environment Challenges
  Jesus Borobia, PowerTrunk
• What Makes AI Stick: Trust, Adoption, and Accountability
  Christian Keon, Nanoprecise Sci Corp
• Replacing High Friction Manual Processes with Agentic AI
  Session by Xerox
• Supply Chain and Contractor Management - Using AI Without Breaking Relationships
  Carl Hammersburg, SAS
• AI at the Edge: Secure, private and customized to your needs
  Kevin Campbell, HP
• Cybersecurity & AI
  Amir Ashuri, EY
• GenAI Disrupting Oil & Gas: Rapidly Deploying the Use Cases That Drive Margin, Safety, and Speed
  Rodrigo Coronado, Avanade

· What is working in enterprise AI today, and where organisations are seeing measurable outcomes

· Why deployments stall after the pilot stage, including data, operating model, risk, and adoption blockers

· Where agentic AI and automation are taking hold first, and what “safe to scale” looks like in practice

· The emerging blueprint for AI ready organisations, from governance to delivery and change management

· What leaders should prioritise over the next 12 to 18 months to move from pilots to portfolio value

• Sharing operator results for maintenance, production tuning, and leak detection to show real outcomes
• Quantifying value using fewer incidents, higher output, and lower energy cost to build the business case
• Shortening time to value by targeting data that already exists to move fast
• Sustaining results by tracking model quality and user adoption to avoid drop off

• Deploying AI models that can run reliably at remote well sites, compressor stations and power facilities.
• Managing model drift, updates and synchronization when connectivity is intermittent.
• Defining the right balance between edge processing and cloud intelligence for Canadian geographies.

• Running visual and sensor-based anomaly detection on edge devices along pipelines and facilities.
• Reducing bandwidth, latency and storage by sending only alerts and essential metadata upstream.
• Equipping integrity and field teams with timely, trustworthy alerts that fit existing workflows.

• Optimize operations securely with AI on the Edge - Javier Lopez, HP Inc 
• Curating metadata and taxonomies that match how Canadian operators plan, operate and maintain assets.
• Linking data quality metrics directly to financial and operational outcomes so fixes are funded.
• Data Quality, Retrieval and Trusted Metrics Across the Asset Lifecycle - Session by Sia Partners
• AI Is Only as Smart as Your Data: Modernizing Land & Asset Intelligence to Scale Digital Transformation - Dean Ruston, Pandell, An ESG Company