Predicting downtime requires deep insights

In order to be able to predict downtime or failure of a production-critical asset based on data, one needs smart algorithms. Some can train based on the data they are digesting, but others do require physical world insights to develop. In order to achieve this we regularly collaborate with SIM Flanders, as highlighted in THIS article.

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