Siemens Digital Industries Software Blogs

Roche uses a comprehensive digital twin for pharma plant design

This blog explains how pharmaceutical companies can overcome data fragmentation and accelerate drug discovery using integrated digital solutions that are...

Siemens scored the highest in the Supply Chain Collaboration Use Case in the 2026 Critical Capabilities report for PLM Software...

If you’ve been following the electric vehicle revolution, you know the headlines: EVs are getting heavier, batteries are expensive to...

Curious about AI in EDA? Discover how to seamlessly integrate AI by pinpointing problems, testing incrementally, collaborating with vendors and measuring impact.

Welcome! This blog will guide you through the key steps for designing plumbing and piping systems using Designcenter™ software. We’ll...

Check out Siemens Capital software how to series to find out how to navigate member design data which makes complex...

As advanced packaging and chiplet-based architectures continue to push design complexity higher, engineering teams need tools that move just as...

Manufacturing has always been defined by constraints: material limits, workforce capacity, supply chain reliability. The most competitive manufacturers are now doing something different, they are redesigning the system that generates constraints in the first place. This is the core discussion Zvi Feuer, Senior Vice President of Digital Manufacturing, and Mark Hindsbo, Head of Operations Software at Siemens Digital Industries Software, made in their recent keynote on building adaptive production with the digital twin and industrial AI. The path from where most manufacturers are to where they need to be is neither simple nor instantaneous. But it is, for the first time, within reach.