smart factory using digital twin

Siemens and Deloitte Pave The Way For Xcelerated Reshoring

Overcoming Localization/Reshoring Challenges For years, manufacturing companies have moved more and more work offshore. Recently, that trend seems to be…

Detection and mitigation of AI bias in industrial applications – Part 3: Mitigation strategies and examples

In parts one and two of this blog series, I explained the difference between desired and harmful biases and discussed…

Energy Transformation - low code solutions

Energy Transformation – providing low code solutions – Transcript ep. 3

Siemens Digital Lifecycle Excellence is impacting the energy industry. It is digitalizing the industries’ operation, resulting in substantial gains. In…

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…

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…

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…

Charting a path forward with MBSE

Creating a plan for a product as complex as an aircraft is highly important, and not just because of the…