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If you’re considering adding or updating your manufacturing software, consider how machine learning can take this software to the next level and give you even more insight into your operations and your bottom line.
Let’s check out ML use cases in manufacturing.
That’s not to say that data scientists will get everything right, but it does mean that they’ll have some insight into what may happen.
Data scientists might not be able to predict your next move, but they can find indicators of certain outcomes or behaviors based on your past decisions and habits.
This includes anything from hiring to inventory management, but one important application is automating production.
One recent example is an algorithm developed by researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) that can predict—within 10 seconds—which parts will break first on a factory line.
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