You might think that in order to make a perfect cocktail or figure out your healthiest foods, you need to channel the mind of a mixologist or nutritionist. But what if it’s more useful to get into the head of a data scientist, instead?
That’s what Marc Drucker and Jacques Moore of Drinkworks, which makes an automated countertop cocktail and beer making machine, and Victor Penev of Edamam, the company putting a data layer on the Internet of Food, spoke about on the SKS 2019 stage earlier this month.
Penev argued that dietary behavior change is difficult; people don’t like working hard to figure out how to eat better. At Edamam, he and his team are figuring out ways to leverage data to help you figure out what to eat, and then get that food to your kitchen without any added work for the consumer. “It’s a no-brainer solution,” Penev told the SKS audience.
The Drinkworks team is taking that level of personalized convenience and applying it to one of our favorite things: cocktails. The company wanted to create a countertop drinks machine that would be different than anything else on the market. To figure out what that would look like, they turned to data — what people want to drink, what times of day they’re drink it, and how exactly they want those beverages to taste. “Data really is the key to our product development,” said Drucker. “Probably much more so than the traditional ethnographic interview systems we used the first time around.”
Check out the video below to learn how companies are harnessing Big Data to make kitchen products that can do everything from improve your Happy Hour to figure out how to make you eat healthy enough to live to 120 years old. It’s an awesome, nerdy conversation that will make you appreciate just how many numbers go into kitchen product development.
