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The distillery with an AI-backed plan to lift their spirits
Manage episode 513698355 series 3371488
Bespoken Spirits isn’t your typical whiskey distillery. Yes, they’re based in the American bourbon heartland of Lexington, Kentucky, and yes, they often make private label whiskeys for clients. But everything from how Bespoken Spirits distills their whiskey to how they market it is done with the help of AI. Jordan Spitzer, their head of flavor, can finish a whiskey in days instead of years—while precisely crafting its taste—using their machine-learning backed approach. And Wane Lindsey, their director of marketing, credits AI tools with helping his tiny team punch way above their weight.
The result is a whiskey that may not be traditional, but still tastes great—and in a fraction of the time it would otherwise take. That’s time they can spend on the creative side of their craft and the work that has the most meaning: building brands and bespoke spirits that people will want to drink.
On this episode, Jordan and Wane share how AI has helped them explore creative new ways to make and market whiskey—and why, no matter how smart our tools get, there’s still no substitute for human taste.
You can learn more about Bespoken Spirits at bespokenspirits.com
~ ~ ~
Working Smarter is brought to you by Dropbox Dash—the AI universal search and knowledge management tool from Dropbox. Learn more at workingsmarter.ai/dash
You can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube Music, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.ai
This show would not be possible without the talented team at Cosmic Standard: producer Dominic Girard, sound engineer Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to our illustrators Justin Tran and Fanny Luor, marketing consultant Meggan Ellingboe, and editorial support from Catie Keck. Our theme song was composed by Doug Stuart. Working Smarter is hosted by Matthew Braga. Thanks for listening!
31 에피소드
Manage episode 513698355 series 3371488
Bespoken Spirits isn’t your typical whiskey distillery. Yes, they’re based in the American bourbon heartland of Lexington, Kentucky, and yes, they often make private label whiskeys for clients. But everything from how Bespoken Spirits distills their whiskey to how they market it is done with the help of AI. Jordan Spitzer, their head of flavor, can finish a whiskey in days instead of years—while precisely crafting its taste—using their machine-learning backed approach. And Wane Lindsey, their director of marketing, credits AI tools with helping his tiny team punch way above their weight.
The result is a whiskey that may not be traditional, but still tastes great—and in a fraction of the time it would otherwise take. That’s time they can spend on the creative side of their craft and the work that has the most meaning: building brands and bespoke spirits that people will want to drink.
On this episode, Jordan and Wane share how AI has helped them explore creative new ways to make and market whiskey—and why, no matter how smart our tools get, there’s still no substitute for human taste.
You can learn more about Bespoken Spirits at bespokenspirits.com
~ ~ ~
Working Smarter is brought to you by Dropbox Dash—the AI universal search and knowledge management tool from Dropbox. Learn more at workingsmarter.ai/dash
You can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube Music, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.ai
This show would not be possible without the talented team at Cosmic Standard: producer Dominic Girard, sound engineer Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to our illustrators Justin Tran and Fanny Luor, marketing consultant Meggan Ellingboe, and editorial support from Catie Keck. Our theme song was composed by Doug Stuart. Working Smarter is hosted by Matthew Braga. Thanks for listening!
31 에피소드
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