The Leading Event Dedicated to Leveraging AI to Power Intelligent Operations and Maximize Asset Performance

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Returning, February 23-25, 2026
Norris Conference Center (CityCentre), Houston, TX

The 2025 AI in Energy Summit welcomed more than 150 senior operations, digital, data, and AI leaders from across the energy sector, for two action-packed days of learning and networking.

The summit took place in Houston, where leaders gathered to learn how to leverage AI to drive asset performance and operational efficiencies across their organization. Through 10+ real-world operator case studies, 4 dedicated tracks, four 90-minute operator-led workshops, multiple keynotes, and much more, attendee's walked away with valuable knowledge in how to create an AI strategy, identify use cases of AI, build the data foundation for AI and how to scale AI projects.

After an incredible Summit, the 3rd AI in Energy Summit will take place in February 23-25, 2026!

Learn More in the 2025 Event Guide

2025 Speaker Recap

View 2025 Speakers
5 Key Takeaways from AI in Energy 2025
Successful AI-Driven Transformation Hinges on Employee Engagement & Leadership Buy-In

Unwavering executive support and a culture of trust with employees is fundamental for successful AI-driven transformation. There needs to be explainability to AI solutions, with an understanding of it’s true capabilities to ensure on-going sponsorship. A clearly defined message to the workforce, of removing monotonous administration tasks to pivot to a focus of high value work, creates a foundation for successful change management.

The Technology Works, but it isn’t the Universal Solution to Every Challenge

AI proof of concepts have demonstrated the ability to solve previously insurmountable challenges, with most early AI investments creating accuracy rates exceeding 90%+, however AI can only succeed in specific business cases. AI adoption should be focused on employee productivity, workflow optimization and strategic differentiation.

AI’s Potential is not in Question—The Focus Must Now Shift to Execution

All segments of the energy value chain are interacting with AI, with some successful proof of concept projects completed and some being stuck in the data review phase. However, there are still major challenges in applying AI for full-scale production applications. This can only be completed by addressing cybersecurity risks, ensuring AI capabilities are future-proofed and by having a conducive organizational structure and culture.

Without Clearly Defined Strategies and Goals you are Destined to Fail

The importance of an AI implementation roadmap is widely regarded as essential for successfully transforming operations, however many of these roadmaps are built on faulty foundations. Instead of identifying inefficiencies and seeking suitable AI solutions, many have become enamoured with an AI solution and then search for its applications. This approach, akin to trying to fit a square peg in a round hole, often fails to deliver real business value. We must start with clearly defined goals and strategize that align with these solutions.

Human Decision-Making vs AI Decision Making – Choosing the Correct Implementation Cases

The value of AI for expediating workflows through quick access to reliability and maintenance data has revolutionized predictive maintenance frameworks. However, in high-risk scenarios where the safety of frontline workers can be compromised, human decision-making must lie at the epicentre of operational decisions. Remember, AI only knows what it has learned from your data. Models often lack historical context, and we must honestly ask ourselves: Are we posing the right questions to develop an optimal algorithm?

Wondering what's in store?

Download the 2025 Event Guide

All the information you need, in one handy document!

While we work behind the scenes to host our 3rd edition, check out our 2025 Event Guide, for an in-depth look at what was discussed this past February.

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2026 Event Venue

Norris Conference Centers - City Centre

Houston, TX

Find Out More

AI in Energy Content Library

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Interview: 
Harnessing Gen AI for Workflow and Maintenance Optimization

We sat down with 2024 event speaker Partha Chatterjee, Principal, Data Analysis at Shell to better understand how to improve operational efficiency through AI. Read as Partha reveals practical strategies and lessons learned for operators looking to leverage Gen AI for real-time decision-making, with a vision for using Gen AI tools to streamline complex workflows.

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Case Study: 
Advancing Gen AI-Enabled
Asset Reliability at Dow

Dow Chemical Company is currently leveraging GenAI capabilities to automatically extract key failure information that enables the analysis of reliability metrics from multiple sources and sites, including both structured and unstructured data. Hear exclusive insights from Technical Leaders and Executives at Dow,  

What Our Attendees Said:

Many of the presentations helped me to see where my company has done well or what we could have possibly done if we would have had some of this insight.

BASF Corporation

Good value. The panels were excellent. There was some very good discussions with people that knew what they were talking about.

Cenovus

The conference was fantastic and all the sessions were very informative and speakers were highly accomplished. It was quite refreshing and I was able to learn quite a few concepts and it provided me with an opportunity to network with my industry peers

Suncor

Very valuable. First one I have attended and was pleasantly surprised at the content and participation

Baker Hughes

A lot of value specially to people who are just engaged on this subject. Opportunity for collaboration between companies ( Operators, technology and consulting companies)

Schlumberger

A huge thank you for flawless execution of the event!

Civitas Resources

The event was most well-prepared, comprehensive, pertinent event I've attended in a long time!

Chevron

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