This platform and book is a proof of concept for how artificial intelligence could, and should be applied to each and every aspect of the wine industry from vine to wine, to assist wine professionals in improving their professional skills, productivity, and efficiency, to change the wine industry for the better, and ultimately enrich wine consumers' experiences.
We ask, answer, illustrate, and demonstrate the solutions to a diverse range of questions relevant to wine professionals and enthusisasts, including but not limited to the following contents.
How could AI be leveraged for improving viticulture such as vineyard management and natural disaster response?
How could AI automatically come up reasonable wine pairing suggestions, whether it be with food, music, or art?
How could AI help flying winemakers and globe-trotting wine professionals optimize their lifelong wine experiences?
How could AI techniques tailor and optimize for each wine taster the best blind tasting strategies based on personal strengths and weaknesses?
What factors could influence bidder behaviors at wine auctions, and which auction design elements play a role in auctioneers expected revenue from the auction? How could AI methods help design the optimal auction mechanism for the auctioneer?
Are fine and rare wines worth considering of potential alternative assets relative to traditional assets for investment? How could AI improve wine collector's investment portfolio management strategies?
What are some AI techniques that would enable us to automatically generate wine maps according to any artistic styles?
How could we scientifically pinpoint the causal effect of Terrior versus Vigneron on wine? What are some AI techniques that would enable us to know for sure if wine's quality is caused by winemaking practices, vintage variations, climats or lieux-dits, etc.?
What makes a cocktail creative? How could we automatically generate creative cocktail recipes with AI?
There are three distinctive ways to navigate through the platform as each section consists of three distinctive parts that can be read separately: