amazon mechanical turk intro to bpo's v3

Post on 19-Oct-2014

408 Views

Category:

Business

4 Downloads

Preview:

Click to see full reader

DESCRIPTION

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

TRANSCRIPT

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

27

http://www.mturk.com

27

John Hoskins, Mechanical Turk

hoskins@amazon.com

amazon web services

top related