Product Velocity is a new approach that enables companies to learn faster, make decisions more quickly, and deliver results.
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Last week I reported on RE4AI, Requirements Engineering for Artificial Intelligence. Among other things, it dealt with the limitations and challenges of RE4AI. All well and good, but how do we approach the whole thing in practice? One possible approach is Google PAIR, which is presented below.
RE4AI is the development of products that contain AI-based elements and the challenges of requirements management.
The "digital twin" is a digital model of a physical system. At first glance, this is only indirectly related to MBSE (Model-Based Systems Engineering). In contrast to the MBSE model, the digital twin is fed with data from operation in order to gain new insights. But the three scientists Azad Madni, Carla Madni...
Generative design is an AI-based iterative design process. Even if it appears creative, it merely supports creativity.
AI in systems engineering must be approached strategically. Approaches will be discussed in this INCOSE event (with video and materials).
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.
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...
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