Teaching AI to Run with the Turbines (www.technologyreview.com)

Woodside Energy is advancing its use of artificial intelligence (AI) in industrial operations, focusing on high-stakes environments like the energy sector. The company has spent years developing predictive analytics, machine learning tools, and optimization systems across various operational areas, including exploration and maintenance. This foundational investment in infrastructure and data governance is now enabling a shift toward more autonomous AI systems that enhance human expertise rather than replace it. For example, Woodside's “Startup Advisor” AI copilot assists operators in the complex process of starting liquefied natural gas (LNG) plants, promoting safer and quicker decision-making. This strategic approach highlights the significance of AI beyond consumer applications, demonstrating its potential in transforming enterprise efficiency through standardized platforms and systematic data governance. By embedding AI as a core operational layer, Woodside aims to create an "autonomous enterprise" where intelligent agents can interact deeply with workflows. The company’s emphasis on aligning technology with human processes indicates a growing trend in industrial AI: integrating advanced data analytics within teams to optimize operations and maintenance, ultimately enhancing safety and operational effectiveness while reducing costs.