5 predictions for systems engineering in 2021
SE-Trends readers took an active part in the survey launched in mid-December: What will happen in systems engineering in 2021? Some of the answers surprised me, here are the five predictions.
3 approaches to processing natural language requirements automatically
Model-based system descriptions are useful, but almost all developments start with requirements in human language. This will not change any time soon, because systems are developed for people. After all, we think in natural language (and images). However, natural language cannot be processed automatically without further ado, but especially with increasing complexity this would be...
Systematically using artificial intelligence
Artificial intelligence (AI) is often equated with machine learning (ML). This way of thinking already limits us unnecessarily, because machine learning is very effective in many situations, but does not exploit the potential of AI by far. To really benefit from AI, we need a holistic approach.
The new trinity of artificial intelligence
Artificial intelligence (AI), machine learning, big data - all nice words. But what do they mean, how can they be used and what does this mean for systems engineers? Three things are needed to use AI effectively: Software, powerful computers and data. How exactly this works, and what role humans play as a system element, is what...
Why we need to think differently about the system context
No system exists in a vacuum. Therefore, an important task of the system architect is to define the context of the system.
Is there enough movement in the systems engineering market?
It is worth looking at the activities of the big players in the SE from time to time to identify trends. How are companies such as Siemens, PTC or Dassault operating? What acquisitions are taking place? Are they tactical or strategic? Here is a brief analysis. The next systems.camp will take place on May 18, followed by a systems.camp webinar on...
Why artificial intelligence is only half the story for systems engineering
Artificial intelligence (AI) and its ethical implications are currently the subject of heated debate. And that's a good thing. For example, the short film Slaughterbots shows in a frightening way why we should not allow autonomous killing under any circumstances. When it comes to pure systems engineering, there are of course a number of things to consider. But how we...
5 forecasts for systems engineering in 2018
Predictions are difficult, especially when they concern the future. Even if it is unclear whether this quote comes from Karl Valentin, Mark Twain or Winston Churchill, it is undoubtedly true. But predictions are fun. I already made a list two years ago, and now it's time for a new one.
Artificial intelligence and systems engineering
Self-driving cars need artificial intelligence (AI), and after several vehicle manufacturers have already followed Google and developed self-driving cars, Toyota has now also joined this group. One problem I see with regard to SE is that the system should be deterministic, especially with embedded systems: Given the same input, the same output should come. That should...
