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Teaching AI to run with the turbines

Teaching AI to run with the turbines

AI MIT Technology Review
Woodside Energy is scaling 50 agentic AI systems across its LNG operations to assist panel operators with complex plant startups and maintenance.
What: Woodside Energy has moved from predictive analytics to agentic AI, using a 'Startup Advisor' tool to support operators in LNG plants. The company focuses on a 'think big, prototype small, scale fast' strategy for its 50+ production AI agents.
Why it matters: This highlights how asset-intensive industrial companies are moving toward 'agentic' systems that integrate into existing operational workflows rather than just consumer-facing chatbots.
Decoder
  • LNG (Liquefied Natural Gas): Natural gas that has been cooled to a liquid state for easier transport and storage.
  • Agentic AI: Systems capable of performing multi-step tasks and interacting with external systems to achieve goals with minimal human intervention.
Original article

Woodside Energy leverages AI to enhance operational efficiency by integrating agentic AI systems in complex industrial workflows, particularly in LNG plant startups through their "Startup Advisor". These AI tools, built upon years of investment in predictive analytics and machine learning, augment human expertise rather than replace it.

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