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.
![_ Presented by
John Hoskins, hoskins @ amazon.com
Mechanical Turk, Amazon
[ Before we start
]
2](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Amazon mechanical turk intro to bpo's v3
- 1. amazon web services Crowdsourcing for improving Business Process October, 2012 - Optimized for 1280x960 - © Amazon Web Services
- 2. _ Presented by John Hoskins, hoskins @ amazon.com Mechanical Turk, Amazon [ Before we start ] 2
- 3. How does it High Crowdsourcing work Examples Level Questions Detail What is MTurk? How is it used [ Our plan for today ] 3
- 4. [ ] What is Crowdsourcing? 4
- 5. [ Crowd Labor Trends ] 5
- 6. 1. Crowdsourcing 6
- 7. [ Crowdsourcing: Key Advantages ] 7
- 8. [ 1. Elastic Capacity ] 8
- 9. On and Off Fast Growth Variable peaks Predictable peaks [ Staffing Usage Patterns ] 9
- 10. On and Off WASTE Fast Growth Missed Variable peaks Opportunity Predictable peaks [ Staffing Usage Patterns ] 10
- 11. On and Off Fast Growth Variable peaks Predictable peaks [ Usage Patterns: Crowdsourcing ] 11
- 12. [ 2. On Demand Availability ] 12
- 13. [ ] 3. Pay as you go, for what you use 13
- 14. $ $ Lower costs Capital efficiency Improve productivity Focus on your business [ Business Benefits of Crowdsourcing ] 14
- 15. 2. What is MTurk? 15
- 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. _ 500,000 Workers _ 190+ Countries [ Global Workforce ] 17 (as of Apr 19th, 2012)
- 18. 3. How it works 18
- 19. [ How it works ] 19
- 20. Highest Performing Average MASTERS Unknown [ Mturk Workforce ] 20
- 21. Highest Performing Average MASTERS Unknown Your Custom Workforce [ Custom Workforce ] 21
- 22. Speed Price Accuracy [ Balances & Levers ] 22
- 23. 4. How is it used? 23
- 24. Data Management Analysis/Research _ Verification _ Sentiment _ Entry & Collection _ Relevance _ De-dupe _ Online Research _ Algorithm Training Content Management Annotation _ Moderation (Photos, Content) _ Tagging _ Transcription _ Classification _ Localization/Translation [ Common Use Cases ] 24
- 25. How can we assess relevance of tweets in real-time? How can we research and categorize merchants in our database? How can we verify accuracy of low confidence OCR scans? How do we build a dictionary to categorize ads on the internet? [ Examples ] 25
- 26. Categorization Web Research Transcription Categorization and DeDupe [ Examples ] 26
- 27. amazon web services http://www.mturk.com John Hoskins, Mechanical Turk hoskins@amazon.com 27