Sponsorship Rescources

Discover the sponsorship opportunities available at the 2026 AI in Energy Summit.

Our attendees are looking for solutions to help implement and scale Artificial Intelligence to power intelligent operations and maximize asset performance, in order to enhance production, asset management, sustainability, and drive down operating costs.

Do you have a solution to help our 250+ senior operations, digital, data and AI leaders? We can create a tailored package to ensure you're getting the most out of your investment.

Download your copy of the sponsorship prospectus today for insights into attendee profiles and the opportunities to showcase your solutions.

The AI in Energy Summit welcomed over 150+ senior operations, digital, data and AI leaders from across North America this past February. Returning in 2026, you can now download the sample attendee list and discover who joined us, and who is already confirmed to be joining us at the 2026 AI in Energy Summit.

Featuring a sample of 100+ delegates and over 60+ companies, the sample attendee list is an expanded look at the attendees, and who you could be meeting this February, 2026.

Download your copy now!

The 3rd Annual AI in Energy Summit Event Guide has arrived! Explore the sessions, speakers, and formats designed to help you augment your workforce, maximize asset performance and power intelligent operations.

Every year, the summit brings together 250+ senior operations, digital, data, and AI leaders from utilities, oil and gas, power generation and renewables for three days in Houston. Hear directly from operators who’ve taken AI projects from proof of concept to full deployment and discover what’s actually working in GenAI, ML Ops, Agentic AI, Digital Twins, and real-time decision support.

Join 60+ speakers including leaders from:

• Taylor Witt, Vice President, Digital and PMO, EnergyRe
• Larry Bekkedahl, Senior Vice President, Advanced Energy Delivery, Portland General Electric
• Eyob Gebremariam, Senior AI Delivery Manager, Duke Energy
• Arundhati Biswas, Senior Director, IT Strategy and Business Operations, National Grid
• Kristine Swan, General Manager, Digital Strategy and Innovation, Phillips 66
• Marcus Johansson Director, Technology Services, Application Delivery, Xcel Energy
• Jason Gee, Manager, Data Science, ExxonMobil

Download the Event Guide to explore everything new for 2026, including 14 real-world AI development case studies and 10 pratical AI trainings!

”The AI in Energy event at Houston provided an excellent opportunity to discuss how AI is transforming risk management and operational efficiency in the energy sector.” Detect

''What a Great Day at AI in Energy! So many insightful conversations about how AI agents can drive real change in the Energy Industry. It’s inspiring to see innovation in action and discuss the future of intelligent energy solutions!’’ Allganize

How do we invest in AI today without being left behind tomorrow?

To get a real-world perspective on this challenge, we sat down with event speaker Marcus Johansson, Director, Technology Services, Application Delivery at Xcel Energy. Marcus shares his first-hand experience on overcoming the persistent barriers to scaling AI, from first proof of concept to deploying the technology across the enterprise.

Read as Marcus discusses the:

• Most persistent barriers when scaling AI
• Drive to hire data scientists AI initiatives worth scaling
• Metrics to rely on when measuring success

Marcus is a highly accomplished senior strategy and transformation leader with over 20 years of experience driving business transformation, acquisition integrations, and strategic initiatives across Fortune 500 organizations.

Read as Adam Pryor, Manager - Strategic Analytics at Murphy Oil, delves into the persistent barriers to scaling AI and how to navigate the new, fast-paced landscape of technical debt and vendor partnerships.

What are the most persistent barriers you’ve faced when scaling AI from a proof of concept to enterprise-wide deployment?

Adam Pryor: I see two major aspects. The first is data availability and uniformity. You might pick a data-rich POC, but as you scale across the organization, you discover differences in process and data collection that create challenges. At the end of the day, it’s garbage in, garbage out. The second barrier is the pace of change in the technology itself. The speed at which third-party tools develop is often much faster than you can build internally. We’ve had instances where we develop and deploy something, and there’s already a better tool on the market. You have to ask, “What is the development cycle?” If it’s longer than eight weeks, you might want to wait and see if the technology catches up. You don’t want to develop that technical debt.

How do you decide which AI initiatives are worth scaling, and how do you ensure they stay aligned with evolving business priorities?

Adam Pryor: This is the age-old question for any technology. There are a lot of people who are technology-first, not problem-first. The real question is: is AI providing a differentiated value that justifies its use?

Learn how Murphy Oil are dismantling the biggest AI challenges in energy.

Download your copy to read the full article to find out.