Siemens is on the pulse of groundbreaking innovations. In step with that objective, the Thought Leadership Team at Siemens Digital Industry Software provides podcasts, blogs, articles and white papers based on the knowledge of engineers and experts in their field. We discuss what Siemens is doing in many industries while forecasting the landscape of innovative technologies.

Our team focuses on emerging technologies in the next two to five years that Siemens is investing in and for which we are developing solutions.

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Understanding the rise of Industrial AI – Podcast Transcript

AI isn’t a new technology yet, today, AI is taking off like never before, finding countless new opportunities not just…

A conceptual image of the front of a red car, split into a holographic version on the left half and a real version on the right.

How software-defined vehicles are changing the automotive industry

The automotive industry’s transition to software-defined vehicles is changing not only the vehicles themselves, but also requirements of the industry.

A visual representation of industry AI controlling a production facility.

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

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

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

The transition to software-defined vehicles – Transcript

In this episode of The Industry Forward Podcast, Royston Jones and Ryan Martin explore the drivers behind the shift toward…

Flexible automation that fits-podcast transcript

Dale Tutt:  Is there a distinct advantage with the humanoid robots that we haven’t talked about already?  Rahul Garg: The one big piece is the…

Using AI to supercharge the digital twin

There is vast potential when it comes to using AI in tandem with simulation. Once the digital twin is well-integrated into the factory, AI can supercharge the factory’s operations.

Building a software defined framework for AI automation

While AI is the obvious next step for industrial automation solutions, implementing it is rarely as simple as just dropping…

A robotic arm accessing data from a user interface (UI) display.

Industrial data needs new targeted ontologies. They aren’t for humans

As AI increase in popularity, it becomes important to optimize industrial data ontologies for both humans and computers.

Robotic arms stacking materials onto a flat cart in a factory.

AI brings product sustainability to the forefront

Lifecycle analysis is a critical tool when designing any product. This is especially true when designing with sustainability in mind,…