Training your first humanoid with AI

Humanoid robots are quickly transitioning from experimental pilots to scalable industrial solutions; and at the heart of this change is AI and simulation.

A visual representation of industry AI controlling a production facility.

The value of process industry AI: shatter the one-size-fits-all myth

There is no industry AI for all. Just like employees, it become more valuable with expertise.

Flexible automation powered by AI

Humanoid robots bring humanlike flexibility while not being limited by human anatomy.

Digital twin of a turbine producing FAIR data.

The 5 best FAIR data secrets to empower process engineers

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

A conceptual holographic image of an AI computer chip.

Shifting left: How Makersite and Siemens enable sustainability by design

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

Offshore oil rig producing data. Meant to symbolize how data is the new oil.

How data is the new oil

Learn why data is the new oil, how to mine insights from data lakes and the future of multidisciplinary AI for engineering applications.

Humanoids: automation that fits

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.

A person reaching toward the camera, pressing a conceptual AI icon.

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

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

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

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.