Siemens Digital Industries Software Blog Network

Siemens Digital Industries Software Blogs

PLM Components

Parasolid v39.0: Advancing the Future of Geometry Modeling

New capabilities in core modeling, mesh processing, implicit geometry, and application performance expand what developers can achieve with Parasolid. Parasolid...


Consumer Products & Retail

The next generation of home appliance design: AI as a collaborative partner 

Home appliance teams are managing more product variants, changing consumer expectations and a growing set of usability, safety and engineering requirements without...

Calibre IC Design & Manufacturing

Why curvilinear OPC demands a new optimization approach 

The semiconductor industry’s transition to sub-5 nm nodes has fundamentally changed photomask design economics. For years, teams relied on rectilinear...

Designcenter Solid Edge

How Plasma-Tech Systems Cut Waste by Up to 20% with Solid Edge

Growth is great—but it can also expose the cracks in your processes. For Hungarian machinery manufacturer Plasma-Tech Systems, expanding from...

Verification Horizons

The Verification Problem Is Changing. Are We Asking the Right Questions

DVCon India 2026

Electronic Systems Design

AI in PCB design: hype or the future of engineering?

The world of electronics design is constantly evolving, and few topics are generating as much buzz (and sometimes apprehension) as...

Teamcenter Manufacturing

MBOM Management: Keeping Manufacturing Aligned with Product Changes

A product change can affect more than the engineering BOM. Learn how Teamcenter Easy Plan helps manufacturing planning teams manage MBOMs, see what changed and keep the manufacturing BOM in sync with engineering.


The Art of the Possible

Towards robust optimal sensor placement for thermal digital twins in electronics

Physical sensors are expensive and spatially restricted. Thermal Digital Twins leverage physics models and strategic sensing to provide virtual temperature data at critical, inaccessible locations where physical hardware cannot go.

Siemens Software Podcast Network

What BFSI must do now to prepare for AI

The future of AI in BFSI will be driven not just by technology, but by trusted data, strong governance, and pragmatic execution.