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…

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…

model-based systems engineering aerospace

MBSE: Future of aerospace industry – part 1

Let’s explore the dynamic aerospace and defense (A&D) industry, taking full advantage of innovations that might be tomorrow’s books and…