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055: Damon Burrow – Using Artificial Intelligence to Improve Golf Club Fitting
Manage episode 371340845 series 3427142
Content provided by Cooper Collins, Jack Bergstrom, & Daniel Hamrin, Cooper Collins, Jack Bergstrom, and Daniel Hamrin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Cooper Collins, Jack Bergstrom, & Daniel Hamrin, Cooper Collins, Jack Bergstrom, and Daniel Hamrin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this episode, we are joined by Damon Burrow (@DamonBurrow) of Golf EQ A.I. (@GolfEQ_AI). Coming from a background in baseball and basketball, Damon didn't start playing golf seriously until college. Damon is currently at Duke in a Ph.D. program and has used his engineering background to co-found Golf EQ A.I., which uses machine learning and artificial intelligence to analyze golf swings and create personalized profiles to improve the golf club fitting process.
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Hosted by: Cooper Collins (@coopercollins99) and Daniel Hamrin (@DanielHamrin)
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(03:54) - helping people find the best products for their game
(07:11) - in-person club fitting challenges
(10:00) - club fitting and caddying
(13:22) - fitting clubs based on club titles
(15:38) - wedge fitting and brand agnosticism
(21:39) - long irons misfit
(22:11) - most overlooked club in golf
(27:10) - wedge spot and gap wedges
(28:09) - wedge fitting and turf interaction
(32:36) - peak height in golf
(34:58) - decreasing loft and center of gravity
(38:42) - one length irons and club fitting challenges
(41:02) - solid wedge fitting challenges and opportunities
(44:22) - golf ball fitting importance
(48:15) - mobile app club fitting
100 episodes
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