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Decoding Talents - Companies in Transition

Talkat DLDwomen 2014 · 2014-07-29..07-30· [data-science, career-development]
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Companies face a talent shortage while data explodes — 300 million Facebook photos, 175 million tweets and 35,000 hours of YouTube daily — and recruiters shift from passive posting to hunting not fishing using concrete tools: a Cataphora-style network map that flags idea creators and sharers, Newton-like adaptive learning applied to onboarding, Siemens’ internal social network with ~100,000 active users, and Google’s Project Oxygen (10,000 data points → eight manager traits → targeted training → measurable satisfaction gain). Evernote keeps 75% users outside US, supports 22 languages, and deliberately refuses to monetize customer data (Evernote anti-big-data).

AI-written summary · about

  1. 0:00Intro
  2. 0:25Introducing the speakers
  3. 2:30Talent Shortage
  4. 3:40Why Care
  5. 4:45The decoded model
  6. 6:02Newton
  7. 6:51Data as a Sixth Sense
  8. 8:31Engineered Ecosystems
  9. 10:14Linda Kozlovski Evernote
  10. 14:58Heidi Stopper Evernote
  11. 16:57Rosa Riera Siemens
  12. 32:48Outro
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