Project content
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Identification of existing data (machines, Q-lab, applications)
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Perform initial analysis based on a data science approach (machine learning, predictive modeling)
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Defining the requirements for the Smart Operations Cockpit
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Agile development of the prototype
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Use of the prototype at a pilot site
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Setting up the technical infrastructure
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Implementation of the prototype in the technical infrastructure
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Handover of the solution to the customer
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Global rollout of the solution
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