Machine learning : driver in evolution of manufacturing

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“Most companies don’t have the infrastructure to make it happen”

(10:38) “If you want to apply machine learning, you need to have access to data. And that’s the problem, the access to data. Today. It’s not that machine learning algorithms or platforms are expensive, not anymore. There are many things that are running currently on the edge that have a very affordable price, in cost for the companies. The problem is that they don’t have access to the data. It’s difficult for them to start connecting the PLCs and the machines and these SCADA systems to an Edge platform that allows collection of data and then being able to exploit them correctly. So the cost is not for the machine learning algorithm itself, it’s for the infrastructure that is needed right now, or at least the minimum infrastructure that is needed.”