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Big Data and machine learning in Industry 4.0

Plastics processing techniques are typically complex processes where performance depends on many variables. Such processes generate large amounts of data, which can be used not only for understanding and optimizing what goes on, but also as input for new business models such as preventive maintenance.

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Plastics processing techniques are typically complex processes where performance depends on many variables. Such processes generate large amounts of data, which can be used not only for understanding and optimizing what goes on, but also as input for new business models such as preventive maintenance.

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