Panel Discussion
summary
Panelists report concrete outcomes not buzz: Berlin meetups hit 900 members with 150‑seat events, companies handle data from thousands to petabytes (one example at up to trillion points), a venture-cap index built in Python already aggregates KPIs and predicts company success, and a commercial product uses an eye-tracking–trained gaze model to score clutter and attention (live and in production).
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chapters (12)
- 0:00Panel introduction
- 1:17Panelist backgrounds
- 7:15Audience demographics
- 9:01Data science in Berlin/Europe
- 16:08Industries beyond e-commerce
- 18:41Data science roles defined
- 21:56Healthcare and VC applications
- 25:48Industry tiers and integration
- 27:16Research and industry synergy
- 31:48New business models
- 33:58Breaking data silos
- 37:51Python education call
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