Siemens Digital Industries Software Blogs

Manufacturers today face growing pressure to manage product complexity, improve collaboration across engineering disciplines, and establish stronger connections between product...

Realize LIVE Asia-Pacific Bengaluru tied AI, simulation, digital twins, cloud and the digital thread into one practical transformation story. Across keynotes, breakouts and the Solutions Center, the focus stayed on execution, standardized MES, earlier validation, smarter planning and sequencing, stronger quality, and extending value into service/aftermarket.

Plant Simulation Copilot 2606 is an AI-powered assistant designed to make working with Plant Simulation and SimTalk faster, easier, and more reliable. It helps users develop and correct SimTalk code with AI-assisted, syntax-validated suggestions, while providing answers grounded in relevant Plant Simulation documentation rather than generic AI responses.

For many manufacturers, the aftermarket—the essential services, parts, and support provided after an initial product sale—is often seen as an unavoidable expense. But what if aftermarket business could be your most dynamic source of profit? For too long, the immense potential within aftermarket operations has been overlooked. It’s time to transform your aftermarket division from a mere cost center into a high-margin revenue stream, and a seamless app that brings together PLM + CRM + AI is key to this exciting shift.

In the past, it wasn’t uncommon for a single person to own and operate one or two factories in which...

Product designs rarely stay the same from concept through release. New requirements, design improvements, manufacturing feedback, and quality findings often...

ASML did not become one of the world’s most critical semiconductor equipment makers by accident. Its case study points to...

Trustworthy AI begins with trustworthy data. Discover how Siemens and KU Leuven are performing research along this line, aiming to enable trustworthy data-centric AI for engineering applications. We consider the rich variety of engineering data, from modeling and simulation to test data acquisition, throughout product design and validation up to real-world operation. Check our blog to learn about our research towards trustworthy data-centric AI, together with KU Leuven in the frame of our research project SATISFY.AI, with support from the Flanders Innovation & Entrepreneurship Agency (VLAIO).

Smarter material handling, more flexible execution, stronger security and advanced transport planning Opcenter Intra Plant Logistics (IPL) continues to evolve...