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Data Requirements for Artificial Intelligence in Manufacturing

Artificial intelligence’s main draw is its ability to extract complex pattern from a date sample. A sufficient data set will explain how quality is affected by process parameters changes. A data column should include the representation of a quality result. The parameters should be either controllable or non-controllable. They key row-wise data requirement should ensure its data represents it process and how such interactions will affect future quality. Continued availabilty of consistent data is a key component for success.

Key Takeaways:

  • There should be requirements to regulate artificial intelligence in manufacturing.
  • The data requirements for artificial intelligence should inform the machine on how to perform a task.
  • The data available to artificial intelligence should be updated and improved.

“It’s important to note that data might not contain a full representation of how quality is measured in the factory.”

Read more: http://www.fabricatingandmetalworking.com/2019/11/data-requirements-for-artificial-intelligence-in-manufacturing/

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