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Impact of AI on the Brewing Industry: A Comprehensive Summary
T. Schlechter

AI has been gaining incredible momentum in the public perception throughout the past year. The main trigger has been the media effective presentation of ChatGPT, presumably. Suddenly, a use case for AI graspable for each and everyone had been created, making the topic directly available to the public mind. Plenty of diverse discussions are ongoing since, be it fantasizing on future use cases, experimenting with the technology (sometimes seemingly “throwing” AI on pretty much everything, treating AI as the “Holy Grail” of technological progress), critical voices full of emotions (especially various subjects towards anxiety) or profound neutral analysis of potential use cases from a scientific point of view. However, both enthusiastic and critical discussions very often lack fundamental background knowledge of the technology behind AI along with what potentially is realistic to implement. Generally, a comprehensive discussion of AI needs to be carried out on various levels, including a more socio-economic overview of the impact of AI on the public, a summary of the technology behind AI to a depth naturally limited by the nature of an article like this, and finally a review of current real use cases. The purpose of this article is to discuss the aforementioned fields in the context of the brewing industry. The main focus will be on a basic introduction of the technology behind current AI trends in the relevant field along with non-classic sensors used to implement new use cases and applications. This summary is followed by presentation and critical discussion of already existing industrial use cases. It will be shown: AI has already arrived in the brewing industry – longer than the publicly perceived existence of ChatGPT.

Descriptors: Brewing-AI, electronic nose, electronic tongue, smart sensors, AI, deep learning, AI driven business models, AI for quality enhancement

BrewingScience, 77 (March/April 2024), pp. 18-32