Wine is one of the world’s oldest and most culturally rich products — but it also offers a unique lens into how we classify, learn, and personalise experiences. In this talk, we’ll explore how the wine world is increasingly shaped by data and AI — from vineyard optimisation and market forecasting to taste profiling and personalised recommendations. We’ll also take a closer look at how algorithms approach a deceptively simple question: What wine will I enjoy? Using models like decision trees as metaphors, we’ll walk through how technology tries to learn human preferences — and where it often falls short. This session blends practical insights with a touch of humour and curiosity, offering both wine lovers and data enthusiasts a fresh perspective on what it means to make informed, intuitive decisions in a world of complexity.
talk-data.com
Speaker
Joanna Dabrowska
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Joanna Dabrowska is a London-based data and AI leader, speaker, and founder, working at the intersection of advanced analytics, emerging technologies, and the wine industry. With over a decade of experience across global organisations including AWS, Deloitte, and Expedia, Joanna has led large-scale data transformation and AI strategy programmes across both the private and public sectors. Her expertise spans AI product development, analytics and AI strategy, predictive modelling, and customer-centric data solutions. She is the founder of Wine World Wonders, a platform dedicated to connecting data and technology with the wine industry, and is a regular contributor to wine publications, where she explores topics such as AI in wine and innovation across the value chain.
Bio from: Meetup #14
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