Who & Why Attend

Why AI leaders, operators, and innovators choose AIOG 2027

AIOG 2027 is built for professionals who want to move beyond AI conversations and into real-world implementation. Attend to discover proven AI strategies, learn from industry case studies, connect with decision-makers across the oil & gas value chain, and gain practical insights that improve operations, asset performance, safety, and business outcomes.

Job titles & profiles

Who should attend?

  • Principal AI Engineer
  • Chief Information Officer (CIO)
  • Chief Technology Officer (CTO)
  • Data Scientist
  • Data Engineer
  • Operations Director
  • Chief Artificial Intelligence Officer (CAIO)
  • Chief Digital & Analytics Officer (CDAO)
  • Head of AI Strategy & Innovation
  • Director of Artificial Intelligence Programs
  • AI & Advanced Analytics Lead – Oil & Gas
  • Head of Data & AI Platforms
  • Predictive Analytics Lead
  • AI Governance & Ethics Lead
  • Industrial AI Product Manager
  • Asset Manager
  • Sustainability and ESG Leader
  • IT/OT Integration Manager
  • Machine Learning Specialist
  • AI Operations (AIOps) Manager
  • Advanced Process Control (APC) Lead
  • Predictive Maintenance Program Manager
  • Reliability & Asset Analytics Manager
  • Digital Operations Excellence Lead
  • Production Optimization Manager
  • AI-Driven Safety & Risk Manager
  • Intelligent Automation Lead
  • Smart Operations Manager
  • Reservoir Analytics & AI Lead
  • AI-Enabled Energy Transition Manager
Industry verticals

Who is this event for?

  • Exploration & Production (Upstream Operators)
  • Midstream Transportation, Pipelines & Terminals
  • Refineries & Petrochemical Facilities
  • Oilfield Services & Technology Providers
  • Drilling, Well Construction & Well Services
  • Government, Regulatory & Energy Authorities
  • Engineering, Procurement & Construction (EPC) Firms
  • IT Services & IT Consulting
  • Business Consulting & Advisory Services
  • Equipment & Machinery Manufacturers
  • Software Development & Solutions Providers
  • Technology, Information & Internet Services
  • Data Infrastructure, Cloud & Advanced Analytics Providers
  • Asset Integrity, Reliability & Maintenance Providers
  • Automation, Control Systems & Robotics Manufacturers
  • Industrial IoT, Sensors & Smart Equipment Suppliers
  • AI, Machine Learning & Digital Solutions Companies
  • Cybersecurity & OT/IT Security Solution Providers
  • Wireless & Telecommunications Services
  • Renewable Energy Integration & Hybrid Systems
  • Health, Safety & Environmental (HSE) Services
  • Workforce Training & Development Organizations
Attendee data

Attendee demographics

By seniority level

Attendee job profiles

Digital Transformation & Innovation Leaders26%
Asset & Operations Management Leaders24%
Engineering & Digital Twin Architects22%
Data, AI & Analytics Professionals18%
Technology & IT/OT Strategy Leaders10%
By region of origin

International attendance

North America41%
Europe24%
Middle East18%
Asia Pacific12%
Others5%
By company type

Attending companies

Oil & Gas Operators30%
EPC & Engineering Companies22%
Digital Twin & Technology Providers21%
Industrial Automation & OT Vendors17%
Research Institutes & Industry Bodies10%

Figures based on the previous edition's registered attendee data. Final 2027 mix may vary slightly by market.

Previous edition

Meet last edition's top speakers

Daneen Storc, M-Flies
Daneen Storc
Senior Product Manager · M-Flies
Saeed Mehmood, Tesla
Saeed Mehmood
Program Manager - Commissioning and Quality · Tesla
Ludmila Pirogova, NXTFrontier Group
Ludmila Pirogova
Managing Partner & CEO · NXTFrontier Group
Tyler Wooten, FocisAI
Tyler Wooten
Director of Technology · FocisAI
Sonia Clayton, Virtual Intelligence Providers
Sonia Clayton
President & CEO · Virtual Intelligence Providers
Key takeaways

What you'll leave with

Gain a deeper understanding of how AI, machine learning, and advanced data analytics are transforming upstream operations—from improving reservoir characterization and well placement to enhancing drilling performance and real-time decision-making across complex assets.
Discover how predictive maintenance, asset integrity analytics, and AI-powered monitoring tools are reducing downtime, extending equipment life, and improving operational reliability across offshore and onshore facilities.
Explore the role of digital twins, autonomous systems, and intelligent workflows in modernizing field operations, optimizing production, and enabling remote, data-driven asset management for safer and more efficient energy operations.
Learn how AI-enabled optimization in production, flow assurance, and subsurface analysis helps operators maximize output, reduce operational risks, and streamline energy workflows across the value chain.
Strengthen knowledge of scalable AI deployment strategies, data governance, cloud infrastructure, and cybersecurity frameworks that support enterprise-wide adoption of intelligent technologies in oil and gas.
Practical, experience-led case studies from real deployments—not sales pitches—that you can apply to your own transformation roadmap.

Ready to join 500+ digital leaders?

Not what you're looking for? Call us on +1 772 356 1302 or +1 417 479 2573 (USA) and we'll point you to the right team.