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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#YouMakeTheDifference in safety and health at work

At Siemens, we highly value health and safety, both for our own employees and when working with our customers to…

reassessing systems engineering mbse

MBSE: Reassessing systems engineering – part 2

We are continuing our discussion about model-based systems engineering (MBSE), based on the recently published MBSE for Dummies ebook. This blog…

Detection and mitigation of AI bias in industrial applications – Part 2: Key points and justifications

In my first blog about the detection and mitigation of AI bias, we covered the concept of trustworthy Artificial Intelligence…

PLM machine building cloud software

Machine building cloud software manages product complexity

Complexity is the most significant issue of the current industrial machinery market, including increasing product sophistication, global cost pressures and…

Less is more: the need for smarter data in AI training

Over the last decade, the maturity of AI algorithms has increased in huge strides to the point where pretrained, off-the-shelf…

Moving forward in a more complex world

The modern industrial landscape is increasingly dynamic, competitive, and complex. This new landscape is being shaped by a number of…

Collaborating to industrialize additive manufacturing

Creating the industry of tomorrow is a big goal, companies have been proclaiming they can deliver it probably as long…

energy transformation

Energy Transformation – requirements management approach to manage enterprise technical data – Transcript ep. 2

In this second podcast transcript of the Energy Transformation series, John Lusty, Global Industry Marketing Leader at Siemen Digital Industries Software,…

Detection and mitigation of AI bias in industrial applications – Part 1: Background and definitions

Traditional machine learning techniques optimize for accuracy only, not fairness or avoiding unexpected/harmful bias. Current advances in AI are both…