How to think about AI and the “New Normal”?
summary
Claims Europe can match US and China and PwC forecasts $15.7 trillion by 2030 for AI impact; cites Europe’s AI turnover around €221 billion in 2019 with €45 billion in automotive. Lists clusters (Berlin ~100, Munich 50, Hamburg 17) and ~€1.2 billion VC invested. Presents concrete products: Paula, TAWNY, Nearys (NLP customer-service bot, emotion-aware interfaces, sub-second visual search). Shows a Bayesian approach that fuses Bayesian inference with engineering domain knowledge to cut painting line failure rates from ~25% rejects by prescribing realtime parameter tweaks.
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chapters (22)
- 0:00Introduction
- 2:54The global AI race
- 7:45The European AI race
- 12:46AI investments in Germany
- 14:10AI startups in Germany
- 16:02AI mindset
- 17:39Ambition
- 19:22Diversity
- 22:12AI is for everyone
- 22:25Friday Facts
- 23:11Nancy
- 24:40First overview
- 25:14Stateoftheart AI
- 25:49Manufacturing
- 27:33Domain Knowledge
- 29:17Anwar
- 29:37Painting plastic parts
- 31:35Expert knowledge
- 32:05Pretrained algorithm
- 33:17RD
- 34:52How does it change
- 36:05Conclusion
