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Kenny Daniel / Algorithmia Founder

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Manage episode 304339189 series 2993215
Content provided by Brian Ray, Don Sheu and Brian Ray; Don Sheu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brian Ray, Don Sheu and Brian Ray; Don Sheu 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://player.fm/legal.
This week we have Algorithmia founder and CTO Kenny Daniel. Algorithmia has grown tenfold over the past six years, and the startup just completed a $25m Series B raise in May. Perhaps our densest episode to date, we manage to pack a lot into a nearly perfect 26.1 minutes. We cover in this episode -- Algorithmia’s founding story with Kenny’s fellow founder Diego Oppenheimer, challenges bridging the culture between traditional software professionals and the current practices of AI professionals, needs for analogs for prosaic software tools tailored for AI deployment, and will the data engineer job title survive as AI matures.
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48 episodes

Artwork
iconShare
 
Manage episode 304339189 series 2993215
Content provided by Brian Ray, Don Sheu and Brian Ray; Don Sheu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brian Ray, Don Sheu and Brian Ray; Don Sheu 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://player.fm/legal.
This week we have Algorithmia founder and CTO Kenny Daniel. Algorithmia has grown tenfold over the past six years, and the startup just completed a $25m Series B raise in May. Perhaps our densest episode to date, we manage to pack a lot into a nearly perfect 26.1 minutes. We cover in this episode -- Algorithmia’s founding story with Kenny’s fellow founder Diego Oppenheimer, challenges bridging the culture between traditional software professionals and the current practices of AI professionals, needs for analogs for prosaic software tools tailored for AI deployment, and will the data engineer job title survive as AI matures.
  continue reading

48 episodes

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