Engineering will be completely reorganized based on AI in the future. Siemens is redefining the market as the only company possessing simulation, high-performance computing, and AI infrastructure.

At a press conference for the '2026 Siemens Simcenter Technology Conference' held at the Westin Parnas Hotel in Seoul on the 21st, Sam Mahalingam, Executive Vice President and Head of Simulation at Siemens Digital Industries Software, unveiled an AI-based simulation strategy and emphasized that 'engineering intelligence' will be the key to future industrial competition.

Vice President Sam Mahalingham stated, “The current industrial environment is rapidly changing under immense pressure, such as supply chain restructuring and shifts in global demand,” adding, “To respond to these changes, a real-time responsive digital environment and AI-based engineering are essential.”

He particularly emphasized innovation in the product development process.

The explanation is that while physical prototypes and iterative testing were previously essential, the process will shift to fully verifying products in a virtual environment prior to the factory's construction.

This is the result of combining digital twin and AI technologies, and the key is the ability to secure quality and performance at the pre-manufacturing stage.

The core of Siemens' strategy is the three pillars of 'Comprehensive Digital Twin,' 'Lifecycle Intelligence,' and 'Adaptive Platform.'

In addition, through the recent acquisition of Altair, the accuracy and scope of digital twins have been significantly expanded by combining physics-based simulation and data analysis capabilities.

AI technology is driving significant changes, particularly in simulation speed and efficiency.

Siemens technology capable of analysis without meshing It was announced that by applying geometry-based deep learning techniques, the simulation speed can be improved by tens to thousands of times compared to existing methods.

In addition, by combining GPU-based high-speed computation with physics-based AI models, speed improvements of up to 250 times or more have been achieved in fields such as aerodynamics, and cases of efficiency improvements of hundreds of times or more are emerging in complex physics simulations. This is a factor directly linked to shortening product development time and reducing costs.

AI is changing the very way engineers work, going beyond simple calculation speeds. Siemens is automating and intelligentizing the entire process from design to analysis and optimization by integrating Copilot and AI agents into its simulation software, enabling users to perform tasks using only natural language input without complex settings.

In particular, the 'Engineering Intelligence Platform' is characterized by integrating various corporate data to establish a 'single source of truth'.

The explanation is that this allows the AI model to operate based on more accurate data, minimizing the possibility of errors identified as a weakness of existing AI.

In his welcoming remarks that day, Oh Byung-joon, Country Manager of Siemens Korea, emphasized the changes following the integration of Siemens and Altair.

"Over the past year since the two companies became one family, our AI simulation capabilities and enterprise AI solutions have been significantly strengthened," said Oh Byung-joon, Country Manager for Korea. "A foundation has been laid to provide customers with deeper and broader solutions."