~/talk

Has Europe Lost It In AI

Talkat DLD Europe 2018 · 2018-09-07..09-09· [machine-learning]
links:none on file
name:J. Howe
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links:none on file
name:L.Siegele
links:none on file
slides:none on file

Europe still holds industrial advantages — lots of turbine and jet‑engine IoT data, active R&D hubs (Seattle, Tel Aviv, China) and corporate pilots like Plant 56, a robotics cell feeding global learning — but gaps remain: compute and chip capacity beyond Graphcore, venture funding split ($15B total: 48% China, 38% US, 14% rest), talent loss (researcher fleeing for 6× pay) and slow adoption. Targeted moves like €1.5 billion national RD, data‑sharing pools and reskilling could add up to trillions to GDP by 2035.

AI-written summary · about

  1. 0:00Europe’s AI position
  2. 1:08Europe’s industrial data edge
  3. 3:37Global AI hubs & Daimler’s strategy
  4. 5:46Europe’s research strengths
  5. 8:13Europe’s data quality & talent
  6. 10:40Ethical AI advantage
  7. 13:52AI leadership beyond tech giants
  8. 16:22Government’s role in AI
  9. 21:17Policy priorities for Berlin & Brussels
  10. 22:22European data economy
  11. 24:47Attracting AI talent in Europe
  12. 29:18Closing remarks & Q&A
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