How Hex builds AI for Data Scientists, with Barry McCardel
Автор: Barrchives Podcast
Загружено: 2025-01-14
Просмотров: 377
AI and data teams in a sense, kind of, do the same thing: make decisions based on data. So how do you build AI that helps data teams do their best work?
Hex was one of the first companies in their space to embrace language models and build code generation features into their data workspace. In this episode of Barrchives, I went deep with Hex’s co-founder and CEO, Barry McCardel, about Hex’s journey towards becoming an AI company.
This episode is broken down into the following chapters:
(00:00) Introduction
(00:35) Early Data Science Background
(02:12) Journey Through Consulting and Palantir
(06:30) Origins of Hex
(07:16) Early Customer Discovery Process
(10:25) Commitment Engineering Philosophy
(13:03) Early Product Development Decisions
(16:20) Early AI Integration
(21:15) Decision Not to Charge for AI Features
(24:58) AI as Core Product Functionality
(27:45) Agents vs Co-pilots in Data Science
(31:05) Building Reliability in AI Features
(38:22) Importance of Context and Evals
(43:42) Tool Use in Hex
(44:43) The Future Beyond AI Features
(47:00) Hex for AI Development
(49:41) Future of Data Science Teams
(54:30) Personal Growth as a Leader
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Spotify: https://open.spotify.com/show/37O8Pb0...
Apple: https://podcasts.apple.com/us/podcast...
Twitter: https://x.com/barrnanas
LinkedIn: / barryaron
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