Saturday, November 13, 2010

Cowdsourcing, a future big employer

Amit is one of the 50000 students getting degree the year 2010 from medium size city Gwalior. Today, Amit does not have sparkle in his eyes, that onced used to be when he got into a engineering college in my local town, Gwalior. Today Amit wear tea shirts with message "No Job, No Gilrfriend". Why? Is it because he does not have a girl friend, well, you said, a girlfriend!!, frankly who cares. Amit probably worries about "a Job". This is not only the story of single Amit but probably a million amit in India and many more in the next coming years.

The basic question is "Do we have enough jobs for all these, so called, educated people in India?". US is reluctant to outsource because of umemployment in their country. UK and Australia are other few examples who thinks in the same lines as US. Does this mean that we have less work and more resources? Well my personal feeling says that, probably no. What we have is lack of management and uneven distribution of work.

Very recently uTest, a crowdsorcing testing company in US, has secured around 30 million USD. Their business model is to outsource testing assignments to any one on this planet who can reliably test a software. So this US company is utilizing more and more smart people, not only in US, but in each of the country on this earth as workforce to carry out testing of their client's softwares.

Well this sounds interesting!!! This means Amit can get a job in uTest. Not only Amit, many more people can get job in uTest. Does this mean that "crowdsourcing" is the next future business model and paymaster?

Crowdsourcing can be applied to varied areas of problems
  1. Design Problems
  2. Decision Problems
  3. Testing Problems
  4. Implementation Problems
  5. Generating Ideas
  6. Selection Problems
  7. and so on ...
Some of the basic things requirements that lead to crowdsourced work are:
  1. Online Work
  2. Arbitration
  3. Tolerance for errors and rough people
  4. Compliance
  5. Work Decomposition
  6. Filtering and Aggregation mechanisms
It will be encouraging to see how this amazing model will turn out to be in the future.


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