How AI Is Reshaping EPC Projects
In the years of my project management career, I’ve witnessed significant changes in how projects are approached, planned and executed. From overseeing large-scale construction projects in South Asia, the MENA region, China, Australia, the United States, the UK and other parts of Europe, to managing complex oil and gas equipment manufacturing, project management has always relied heavily on manual tracking and reactive problem-solving.
But with the rise of artificial intelligence and predictive analytics, the game is changing, allowing project managers like myself to make data-driven decisions that significantly improve outcomes. In this article, I’ll discuss how AI and predictive intelligence are reshaping project management, offering insights from my own experiences working on various engineering, procurement and construction (EPC) projects, including capital equipment supplies in the refinery and subsea oil & gas sectors with complex multi-functional teams.
The Evolution of Project Management
Project management has traditionally been a field dominated by manual processes, gut instincts, and historical data reviews. I remember when we had to rely on spreadsheets and weekly site visits during my time at a refining facility to gather data for planning and risk assessment. It was time-consuming and often reactive. While effective to some extent, this method
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