Amazon mechanical turk intro to bpo's v3
27
Crowdsourcing for improving Business Process October, 2012 - Optimized for 1280x960 - © Amazon Web Services amazon web services
-
date post
19-Oct-2014 -
Category
Business
-
view
408 -
download
4
description
This presentation helps businesses trying to improve their workflows using crowdsourcing and specifically, Mechanical Turk. Improving human efficiencies and lowering costs.
Transcript of Amazon mechanical turk intro to bpo's v3
Crowdsourcing for improving
Business Process
October, 2012 - Optimized for 1280x960 - © Amazon Web Services
amazon web services
2
Before we start ] [ 2
_ Presented by
John Hoskins, hoskins @ amazon.com
Mechanical Turk, Amazon
3 3
Detail
High Level
What is MTurk?
How does it
work Crowdsourcing
How is it used
Questions
Our plan for today ] [
Examples
4
What is Crowdsourcing? ] [
4
5
Crowd Labor Trends [ ]
5
6 6
1. Crowdsourcing
7
] [
7
Crowdsourcing: Key Advantages
8
1. Elastic Capacity ] [
8
9
On and Off Fast Growth
Variable peaks Predictable peaks
Staffing Usage Patterns
] [
9
10
On and Off Fast Growth
Predictable peaks
Missed Opportunity
WASTE
Staffing Usage Patterns ] [
10
Variable peaks
11
Fast Growth
Predictable peaks
On and Off
Usage Patterns: Crowdsourcing ] [
11
Variable peaks
12
2. On Demand Availability ] [
12
13
[ ]
13
3. Pay as you go, for what you use
14
Business Benefits of Crowdsourcing ] [
Improve productivity
Lower costs
$ Capital efficiency
$
14
Focus on your business
15 15
2. What is MTurk?
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)
] [
16
What is Mechanical Turk?
17
Global Workforce ] [
17 (as of Apr 19th, 2012)
_ 500,000 Workers
_ 190+ Countries
18 18
3. How it works
19
How it works [ ]
19
20
Mturk Workforce [ ]
MASTERS
Highest Performing
Average
Unknown
20
21
Custom Workforce [ ]
MASTERS
Highest Performing
Average
Unknown
21
Your Custom Workforce
22
[ ]
22
Balances & Levers
Accuracy
Price
Speed
23 23
4. How is it used?
24
Common Use Cases [ ]
24
Data Management _ Verification
_ Entry & Collection
_ De-dupe
_ Algorithm Training
Annotation _ Tagging
_ Classification
Content Management _ Moderation (Photos, Content)
_ Transcription
_ Localization/Translation
Analysis/Research _ Sentiment
_ Relevance
_ Online Research
25 25
[ ] Examples
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?
26 26
[ ] Examples
Categorization
Web Research
Transcription
Categorization and DeDupe
