Generative AI and Agentic in Energy Industry (GAAEI) 2026

The energy sector has long leveraged traditional forms of AI and machine learning to optimize processes, improve efficiency, and enhance decision-making. The emergence of generative AI introduces an entirely new dimension of capability—one that can unlock deeper insights, accelerate innovation, and transform the way we design, operate, and maintain energy systems.

Generative AI enables energy companies to move beyond predictive analytics into the realm of intelligent creation and simulation. In exploration and production, it can rapidly generate and analyze geological models, helping engineers identify potential reserves with greater accuracy. In refining and downstream operations, it can optimize process parameters by simulating countless scenarios, reducing downtime and improving yield. Across the renewable sector, generative AI supports the design of more efficient solar panels, wind turbines, and battery systems through AI-driven materials discovery and design optimization.

Beyond operations, generative AI is also transforming how knowledge is shared and decisions are made. Intelligent assistants can summarize complex technical details, generate plans, or simulate project risks in real time—empowering teams to make faster, data-driven decisions. As this technology matures, it will not only enhance productivity but also foster a culture of innovation across the entire energy ecosystem.

Subjects to be covered:

• Oilfield transformation and automation Technological
• advancements in IoT & IIoT
• Blockchain & web 3.0
• Machine learning pushing the boundaries
• Cyberthreats & Cybersecurity
• Data migration & management
• AI in Asset Integrity

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