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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Advanced robotics and AI in industrial manufacturing- Episode 3 transcript

Chris Pennington: Thanks for joining us today, Max. It’s been great to share your knowledge and experience with our listeners….

An aerospace engineering working on a laptop next to an aircraft engine.

The Full Potential of Digital Transformation in Aerospace Factories – Summary

The production digital twin is a valuable tool aerospace manufacturers can use to enhance their production processes through simulation and…

Looking at heavy equipment for the future of software-defined vehicles

Software-defined products (SDPs) are not new, many businesses have understood and taken up the benefits of rapid feature iteration and…

Achieving manufacturing simplicity through AI

In the complex world of manufacturing and production, achieving simplicity in any process is often easier said than done. This…

Aircraft engines undergoing maintenance in a hangar.

The Full Potential of Digital Transformation in Aerospace Factories – Transcript

In this episode of Talking Aerospace Today, Todd Tuthill and Sunil Chhabra explore where the production digital twin fits into…

Advanced robotics and AI in industrial manufacturing- Episode 2 transcript

Chris Pennington:  Max, I wonder if I could just ask you to provide some examples of practical use cases where…

The importance of considering ethical challenges and balancing speed vs. trustworthiness during AI implementation for digital industries — Part 2

What strategies can engineering teams use to balance rapid innovation with ethical concerns in terms of AI?

The importance of considering ethical challenges and balancing speed vs. trustworthiness during AI implementation for digital industries — Part 1

AI and generative AI can be incredibly valuable for nearly every aspect of product lifecycle management – but there are vital ethical and legal principals to bear in mind.

The importance of AI and data in the manufacturing process podcast – Transcript

Artificial intelligence and data go hand in hand, whether that’s as data used to train AI models or as AI…