Machine learning in breweries (Part 1): Success factors and systematic introduction
Data analysis | Increasing digitalisation makes it possible to collect and analyse copious amounts of data with multivariate cause-and-effect relationships. However, brewery operations face major challenges when attempting implementation on their own. This contribution presents findings and solution pattern from the research project “Data-driven Process Optimisation using Machine Learning in the Beverage Industry” (DaPro).
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