Amazon mechanical turk intro to bpo's v3

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This presentation helps businesses trying to improve their workflows using crowdsourcing and specifically, Mechanical Turk. Improving human efficiencies and lowering costs.

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Amazon mechanical turk intro to bpo's v3

  1. 1. amazon web servicesCrowdsourcing for improving Business ProcessOctober, 2012 - Optimized for 1280x960 - © Amazon Web Services
  2. 2. _ Presented byJohn Hoskins, hoskins @ amazon.comMechanical Turk, Amazon [ Before we start ] 2
  3. 3. How does itHigh Crowdsourcing work ExamplesLevel QuestionsDetail What is MTurk? How is it used [ Our plan for today ] 3
  4. 4. [ ]What is Crowdsourcing? 4
  5. 5. [ Crowd Labor Trends ] 5
  6. 6. 1. Crowdsourcing 6
  7. 7. [ Crowdsourcing: Key Advantages ] 7
  8. 8. [ 1. Elastic Capacity ] 8
  9. 9. On and Off Fast GrowthVariable peaks Predictable peaks [ Staffing Usage Patterns ] 9
  10. 10. On and Off WASTE Fast Growth MissedVariable peaks Opportunity Predictable peaks [ Staffing Usage Patterns ] 10
  11. 11. On and Off Fast GrowthVariable peaks Predictable peaks [ Usage Patterns: Crowdsourcing ] 11
  12. 12. [ 2. On Demand Availability ] 12
  13. 13. [ ] 3. Pay as you go, for what you use 13
  14. 14. $ $ Lower costs Capital efficiencyImprove productivity Focus on your business[ Business Benefits of Crowdsourcing ] 14
  15. 15. 2. What is MTurk? 15
  16. 16. Marketplace for Work_ Access to global workforce, on demand_ Quality controls and workflow “building blocks”_ Pay as you go, only when satisfied with results_ Programmatic Access (API) [ What is Mechanical Turk? ] 16
  17. 17. _ 500,000 Workers_ 190+ Countries [ Global Workforce ] 17 (as of Apr 19th, 2012)
  18. 18. 3. How it works 18
  19. 19. [ How it works ] 19
  20. 20. HighestPerforming AverageMASTERS Unknown [ Mturk Workforce ] 20
  21. 21. Highest Performing AverageMASTERS Unknown Your Custom Workforce [ Custom Workforce ] 21
  22. 22. Speed Price Accuracy[ Balances & Levers ] 22
  23. 23. 4. How is it used? 23
  24. 24. Data Management Analysis/Research_ Verification _ Sentiment_ Entry & Collection _ Relevance_ De-dupe _ Online Research_ Algorithm TrainingContent Management Annotation_ Moderation (Photos, Content) _ Tagging_ Transcription _ Classification_ Localization/Translation [ Common Use Cases ] 24
  25. 25. How can we assess relevance oftweets in real-time?How can we research and categorizemerchants in our database?How can we verify accuracy of lowconfidence OCR scans?How do we build a dictionary tocategorize ads on the internet?[ Examples ] 25
  26. 26. CategorizationWeb ResearchTranscriptionCategorization and DeDupe[ Examples ] 26
  27. 27. amazon web serviceshttp://www.mturk.com John Hoskins, Mechanical Turk hoskins@amazon.com 27

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