Three lessons from our AI projects
Over two years, we supported dozens of AI projects, from initial exploration to a model that runs every night. Some went exactly as planned; others…
Beer is often brewed on instinct, drawing on a brewer’s knowledge and skill, and sometimes a little luck. Not this unique collaboration: the Data Driven NEIPA.
Using web scraping, we extracted characteristics from beer review tasting notes, including those on the large consumer platform Untappd. We then coded these characteristics into categories such as beer style, average rating, hop flavours and aromas, bitterness, sweetness, caramel and types of fruit. The resulting dataset was used to build a model to determine the ideal flavour combination. It was not about finding the highest-scoring characteristic, but about balance. We shared the results with Uiltje’s brewers, who turned them into a recipe derived entirely from this data analysis. The right combinations and proportions take this NEIPA to another level.
Uiltje Brewing Company and Data Science Lab are two young companies. Unsurprisingly, they met over Friday afternoon drinks. That spontaneous, sociable afternoon planted the seed of an experiment between brewers and data scientists. As we now know, it grew into something remarkable in terms of flavour: the ultimate beer was born.
Don’t wait any longer: taste hard numbers & smooth flavours. Computer says Go!
Over two years, we supported dozens of AI projects, from initial exploration to a model that runs every night. Some went exactly as planned; others…
Many organisations have now run an AI pilot. The model works, the demo gets applause, and then nothing else happens. In our experience, most projects…
Artificial Intelligence is developing rapidly. New models appear almost every week, and more and more organisations are experimenting with AI. At the…
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