The term cognitive digital twin is particularly at home in the fields of artificial intelligence, Industry and Factory 4.0 and digital transformation.
A cognitive digital twin is a digital replica of a real system, product or process. Unlike simple models, this twin can collect a lot of data, learn from it independently and develop further. This enables companies to better understand, monitor and specifically improve their machines, systems or even entire production processes.
An illustrative example: In a modern car factory, there are expensive robots that assemble cars. A cognitive digital twin creates a digital image of each robot. It collects all performance data and recognises when a robot is slowing down or showing signs of wear. The system then suggests timely maintenance to avoid breakdowns.
This enables companies to prevent production downtime and save costs. At the same time, they gain valuable insights to make processes even more efficient. The use of a cognitive digital twin thus becomes an important building block for the successful digitalisation of companies.
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