New Paradigm for Building AI & Data teams
summary
Argues a human-centric hiring model that accepts churn and aims to have people return over a 10 year span while growing skills on live projects, not hiring only "perfect" fits. Recommends reducing tracking to up to three KPIs, tying bonuses to culture and potential, and applying a dynamical systems view (competence → training → experience → impact). Proposes PDS/PPS processes to shrink perpetual open roles, treats HR as partners, and urges startups to build small multidisciplinary teams.
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chapters (7)
- 0:00Introduction
- 1:58Human-centric AI teams
- 7:13Talent retention challenges
- 13:17Building teams via projects
- 18:51Data science in HR
- 24:26Key takeaways
- 26:56Q&A
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