Simon Rogers Foundations of AI Hydrocarbon Engineering

Artificial Intelligence is generating significant interest across the process industries, but what is required to move beyond experimentation and deliver real business value? In this interview, KBC CTO Simon Rogers discusses the foundations for successful industrial AI, including the role of process twins, engineering physics, the digital thread, and hybrid AI approaches that combine first-principles engineering with machine learning. Key topics include: Why industrial AI is becoming possible today Why process twins are a prerequisite for AI success The importance of grounding AI in engineering physics The business case for AI and process twins Understanding the digital thread and connected data Common implementation challenges and lessons learned The cultural changes required to adopt AI successfully The future role of engineers in an AI-enabled industry Whether you're evaluating AI initiatives, implementing process twins, or developing a digital transformation strategy, this discussion explores how industrial organizations can build trust, improve performance, and create lasting value from AI.