Digital Twin

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A red car chassis being assembled in a robotic assembly line inside a white factory.

The transition to software-defined vehicles

May 8, 2026

Cars today are incredibly different compared to cars just a few decades ago. Whereas cars were historically mechanically centric products,…

By Quinn Foster
< 1 MIN READ
Digital twin of a turbine producing FAIR data.

The 5 best FAIR data secrets to empower process engineers

April 24, 2026

Learn the five secrets of FAIR data and how it will herald the next industrial revolution through digital twins, AI and simulation.

By Shawn Wasserman
< 1 MIN READ
A conceptual holographic image of an AI computer chip.

Shifting left: How Makersite and Siemens enable sustainability by design

April 17, 2026

The concept of “shifting left” is especially critical for the development of sustainable products. The sooner companies have insights into…

By Quinn Foster
< 1 MIN READ

Humanoids: automation that fits

April 3, 2026

Humanoid robots are emerging now because technology maturity, workforce needs and economics have all aligned. Combined with labor shortages, and lowering costs of materials, advancements in AI, compute, batteries, sensing and digital engineering are pushing these robots into real production environments.

By Bianca Ward
< 1 MIN READ
A person reaching toward the camera, pressing a conceptual AI icon.

Designing in the dark: How AI brings clarity to sustainable product development

March 27, 2026

Much of the sustainability impact of a product is determined as soon as the design phase, yet the data that…

By Quinn Foster
< 1 MIN READ

From SpaceX launch pads to nuclear power plants: Ben Kellie’s mission to make clean energy affordable

March 26, 2026

Ben Kellie is not a nuclear scientist. He’s an infrastructure builder. He spent years at SpaceX leading the launch pad…

By Katherine Cerrone
2 MIN READ

Ontologies: How to make sense of the data explosions in process industries

March 20, 2026

Digitalization is burying the process industry under a mountain of data. Industry leaders must learn how ontologies make sense of it and transform it into revenue.

By Shawn Wasserman
< 1 MIN READ

How AI and real‑world data are transforming industrial design – episode 9 of IM and AI podcast

February 13, 2026

Siemens experts explore how to capture industrial data to unlock new gains in the factory, touching on how to clean…

By Bianca Ward
< 1 MIN READ

Understanding AI-assisted Chip Design

January 23, 2026

Chip design is one of the most complex and challenging tasks in the world, requiring specialized tools and knowledge far…

By Spencer Acain
< 1 MIN READ