full transcript

From the Ted Talk by Jessica Apotheker: What will happen to marketing in the age of AI?

Unscramble the Blue Letters


Imagine you're a construction company and you decide to market to architects for the first time. You have zero data on architects. What do you do? Who has data on architects? Other cotsunrtcion companies, but they're drceit competitors. So where do you go? Well, you go outside your ecosystem, potentially, for example, with financial inntitusiots, insurances. You can set up a federated mdeol with them, train aglos on that, that will in turn make you much stronger to market to a new consumer segment.

And so are you done? If you have that, if you have that data, if you have those skills are you done, you have that left-AI brain advantage? Well, no, actually you are not. If you do that, there is a risk you give all of your right brain to generative AI and in turn run a real risk of lsniog that divergence, losing that super sotrng brand identity, being trapped in that grand equalization of marketing I was tlnkaig about a minute ago.

Open Cloze


Imagine you're a construction company and you decide to market to architects for the first time. You have zero data on architects. What do you do? Who has data on architects? Other ____________ companies, but they're ______ competitors. So where do you go? Well, you go outside your ecosystem, potentially, for example, with financial ____________, insurances. You can set up a federated _____ with them, train _____ on that, that will in turn make you much stronger to market to a new consumer segment.

And so are you done? If you have that, if you have that data, if you have those skills are you done, you have that left-AI brain advantage? Well, no, actually you are not. If you do that, there is a risk you give all of your right brain to generative AI and in turn run a real risk of ______ that divergence, losing that super ______ brand identity, being trapped in that grand equalization of marketing I was _______ about a minute ago.

Solution


  1. strong
  2. direct
  3. talking
  4. construction
  5. institutions
  6. algos
  7. losing
  8. model

Original Text


Imagine you're a construction company and you decide to market to architects for the first time. You have zero data on architects. What do you do? Who has data on architects? Other construction companies, but they're direct competitors. So where do you go? Well, you go outside your ecosystem, potentially, for example, with financial institutions, insurances. You can set up a federated model with them, train algos on that, that will in turn make you much stronger to market to a new consumer segment.

And so are you done? If you have that, if you have that data, if you have those skills are you done, you have that left-AI brain advantage? Well, no, actually you are not. If you do that, there is a risk you give all of your right brain to generative AI and in turn run a real risk of losing that divergence, losing that super strong brand identity, being trapped in that grand equalization of marketing I was talking about a minute ago.

Frequently Occurring Word Combinations


ngrams of length 2

collocation frequency
productivity revolution 3
generative ai 3
productive outcome 3
content chasing 3
big productivity 2
digital marketing 2
boston consulting 2
consulting group 2
strategically reskill 2
predictive ai 2
marketing data 2
entire organization 2
super strong 2

ngrams of length 3

collocation frequency
big productivity revolution 2
boston consulting group 2

Important Words


  1. advantage
  2. ai
  3. algos
  4. architects
  5. brain
  6. brand
  7. companies
  8. company
  9. competitors
  10. construction
  11. consumer
  12. data
  13. decide
  14. direct
  15. divergence
  16. ecosystem
  17. equalization
  18. federated
  19. financial
  20. generative
  21. give
  22. grand
  23. identity
  24. imagine
  25. institutions
  26. insurances
  27. losing
  28. market
  29. marketing
  30. minute
  31. model
  32. potentially
  33. real
  34. risk
  35. run
  36. segment
  37. set
  38. skills
  39. strong
  40. stronger
  41. super
  42. talking
  43. time
  44. train
  45. trapped
  46. turn