AI is transforming manufacturing—and it goes beyond predicting equipment failures. AI is revolutionizing everything from quality control to safety monitoring, training, and inventory management in real time.
But before you fall in love with and roll out the technology, they stress there are five things you need to keep in mind:
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Identifying the real problem (not symptoms)
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Verifying your data quality and accessibility
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Confirming strategic alignment of the solution against business goals
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Establishing monitoring capabilities
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Ensuring the ability to act on insights
Of course, successful adoption requires a cultural shift, too. As Alvaro notes, if AI is not improving the lives of the workforce, something is wrong, and it needs to be fixed.
Other highlights include:
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Why running faster doesn't always mean better results
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How to avoid "automating the wrong process"
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The danger of falling in love with technology before identifying the problem
To keep the conversation going:
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