full transcript
"From the Ted Talk by Tricia Wang: The human insights missing from big data"

Unscramble the Blue Letters

And what makes it so thick and meaty is the experience of understanding the human nrrvtiaae. And that's what hples to see what's missing in our mledos. Thick data grounds our business queiosnts in human questions, and that's why integrating big and thick data forms a more complete picture. Big data is able to offer insights at scale and leegavre the best of mahcine intelligence, whereas tcihk data can help us rescue the context loss that comes from making big data usable, and leverage the best of human intelligence. And when you actually integrate the two, that's when things get really fun, because then you're no longer just wniokrg with data you've already collected. You get to also work with data that hasn't been collected. You get to ask questions about why: Why is this happening?

Open Cloze

And what makes it so thick and meaty is the experience of understanding the human _________. And that's what _____ to see what's missing in our ______. Thick data grounds our business _________ in human questions, and that's why integrating big and thick data forms a more complete picture. Big data is able to offer insights at scale and ________ the best of _______ intelligence, whereas _____ data can help us rescue the context loss that comes from making big data usable, and leverage the best of human intelligence. And when you actually integrate the two, that's when things get really fun, because then you're no longer just _______ with data you've already collected. You get to also work with data that hasn't been collected. You get to ask questions about why: Why is this happening?

Solution

  1. thick
  2. working
  3. questions
  4. narrative
  5. leverage
  6. models
  7. machine
  8. helps

Original Text

And what makes it so thick and meaty is the experience of understanding the human narrative. And that's what helps to see what's missing in our models. Thick data grounds our business questions in human questions, and that's why integrating big and thick data forms a more complete picture. Big data is able to offer insights at scale and leverage the best of machine intelligence, whereas thick data can help us rescue the context loss that comes from making big data usable, and leverage the best of human intelligence. And when you actually integrate the two, that's when things get really fun, because then you're no longer just working with data you've already collected. You get to also work with data that hasn't been collected. You get to ask questions about why: Why is this happening?

ngrams of length 2

collocation frequency
big data 17
thick data 8
temple guides 5
data systems 4
ancient greece 3
ethylene gas 3

ngrams of length 3

collocation frequency
big data systems 4

Important Words

  1. big
  2. business
  3. collected
  4. complete
  5. context
  6. data
  7. experience
  8. forms
  9. fun
  10. grounds
  11. happening
  12. helps
  13. human
  14. insights
  15. integrate
  16. integrating
  17. intelligence
  18. leverage
  19. longer
  20. loss
  21. machine
  22. making
  23. meaty
  24. missing
  25. models
  26. narrative
  27. offer
  28. picture
  29. questions
  30. rescue
  31. scale
  32. thick
  33. understanding
  34. usable
  35. work
  36. working