Edge and Cloud Computing

On the previous pages we have explained that meaningful applications of artificial intelligence require high-quality data which form the basis of generating models. However, what does the infrastructure look like where the produced data will be processed or the models be learned in the future?

Currently it becomes apparent that “edge computer centers“ will take over this task. Edge computing means that computing power, software applications, data processing or services are transferred directly to the logical edge of a network, e.g. a line or a complete factory. Studies predict that edge computing will increase by roughly 30 % per year by the year 2025, owing to the large variety of data that can be expected, the required processing speed and power. Edge computer centers, inter-connected to form a scalable cloud infrastructure, also enabling small and medium-sized enterprises to use cloud technologies without having to in-vest in their own infrastructure.

Edge computer centers fulfill the following tasks, for example:

  •  Collecting and interpreting data from sensors and machine controls
  • Machine learning of the models
  • Comparisons between models and runtime data
  • Storage of measuring data, e.g. image data from quality systems
  • Calculation of machine parameters
  • Other machine-related features, which are not relevant in real-time, however

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