Maximizing the Potential of Documents, NLP, and AI - Technical and Non-technical Challenges

Maximizing the Potential of Documents, NLP, and AI - Technical and Non-technical Challenges

Association for Computing Machinery (ACM) via YouTube Direct link

Many expectations of Al

11 of 20

11 of 20

Many expectations of Al

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Maximizing the Potential of Documents, NLP, and AI - Technical and Non-technical Challenges

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  1. 1 Intro
  2. 2 Four challenges facing Al teams at SEEK
  3. 3 About me
  4. 4 About SEEK's data
  5. 5 About AIPS
  6. 6 How my team helps hirers and candidates
  7. 7 Job data
  8. 8 Candidate data
  9. 9 Structured "bag of tags" representations
  10. 10 Unstructured vector space representations
  11. 11 Many expectations of Al
  12. 12 Delivering innovative Al services
  13. 13 Delivering FAT Al services
  14. 14 Talent Search using using Elastic ANN
  15. 15 Iterative development of a new Al service
  16. 16 Product science at SEEK
  17. 17 Many models, many pipelines?
  18. 18 Market-adapted model training
  19. 19 Cross-squad knowledge sharing
  20. 20 Cross-squad model sharing with Python

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