Data discipline: Managing engineering data for AI-powered design

Engineering teams work with massive amounts of complex data including 3D CAD models, FEA meshes with millions of elements and high-fidelity simulations.

However, these teams often lack enterprise-level roadmaps for storing, managing and leveraging it effectively. Machine learning applications face unique challenges: data volume, non-tabular CAD formats, complex predictions and scattered historical data across incompatible systems. Without disciplined data strategy, companies struggle to extract value from AI-powered design tools and miss innovation opportunities.

Siemens solves this through AI-powered design tools like Simcenter™ PhysicsAI Studio and Simcenter™ Hyperstudy™, paired with robust HPC infrastructure.

Altair One serves as a turnkey platform combining engineering tools, analytics and scalable computing in one place with a central data repository. Companies can provision cloud or on-premises resources, run simulations seamlessly and accelerate discovery by broadening access to all data, software and HPC resources needed throughout product development.