Making Digital Twin Economically Real in High-Risk Industries
Jay Yun, Founder & CEO, SIMACRO
Digital twins are often discussed in terms of technology, but in high-risk industries their real value lies in delivering measurable economic outcomes while maintaining operational safety. In “Making Digital Twin Economically Real in High-Risk Industries,” Jay Yun, Founder and CEO of SIMACRO, examined how organisations can turn digital twin initiatives into systems that drive real operational value.
Drawing on SIMACRO’s experience delivering more than ninety modelling projects and over twenty operational digital twins across chemical, energy, and bio industries, Yun explained that the challenge is not building the models themselves but making them economically meaningful and reliable in complex operational environments.
The presentation highlighted how profit often leaks through the gaps between design, planning, execution, and feedback, resulting in losses in yield, energy efficiency, and product quality. An effective digital twin helps close these gaps by continuously reconciling models with plant reality and supporting more informed operational decisions.
Yun also emphasised the importance of deploying AI and digital twins responsibly in operational technology environments. By combining physics-based models with AI within controlled runtime environments, organisations can introduce intelligence safely while maintaining the trust and control required in high-risk industrial operations.
