The Internet in Real Time

Data is Money. The pace at which User Generated Content is being created increasing, and consequently so is the wealth of the IT companies that own it.  This animated gif provides an understanding of the scale of this data deluge.

 


Click the animation to open the full version (via Penny Stocks Lab).

Opportunities due to Big Data [Infographic]

Big data presents several opportunities to entities that are able to make sense of it. This infographic, by Elexio.com, presents an overview of the rate of big creation, and opportunities for value creation across various fields due to big data.

 

Image via elexio.com

Indian IT Market [Infographic]

This infographic, which presents the findings of the IDC Report on the state of the Indian IT market, has several parallels to my own findings in the field. The Indian IT market is poised on the cusp of a boom, which will hopefully result in massive improvements in productivity and customer service. However, the use of enterprise IT in India is geographically concentrated in specific high growth/high income states. Infographic bmohitlakhmani on Visually.

IDC Indian IT Market report

Good or Bad? 1 Billion+ LinkedIn Endorsements

Why LinkedIn Endorsements are a good idea, gone bad. 
  

A few months ago, LinkedIn celebrated 1 billion endorsements by releasing an infographic (see below). Considering the passage of time and the increasing velocity of endorsement giving, this number may be over 3 billion by now.

On the face of it, LinkedIn Endorsements seemed to be a good idea. Users can endorse specific skills of others, thereby helping potential employers to more easily shortlist candidates (the ‘placement’ market is after all, the main revenue stream for LinkedIn). Users will also benefit from ‘social recognition‘ of their skills and capabilities.

However, all is not well in wonderland. The manner in which the Endorsement system has been implemented is resulting in several, hopefully unforeseen, problems. Three main issues are:

1. Personal Brand Dilution:

A user does not necessarily have control over what skills are being endorsed by others. Thus a skill which one does not wish to emphasize might get ‘suggested’ by LinkedIn for endorsement by others, while the skills a user has selected as part of his/her ‘online brand’ are not always visible. While a one can opt not to display a particular endorsement, the overall result is either a wasted endorsement or dilution of the personal brand.

2. Endorsement Value Dilution:

As per the current implementation, anyone can endorse any skill for any connections on LinkedIn. As a result, one may get endorsed for a particular skill by someone who is not is a position to make a genuine evaluation of the skill. For example, a Scientist’s mathematical skills can be endorsed by his/her basketball teammate – not exactly someone who maybe in a position to make such a judgement.  Alternatively, one might get endorsed for a skill that one does not possess [In jest, I've received an endorsement for Quidditch! Unfortunately, I cannot tell a Quaffle from a Bludger]. When combined with the fact that there is no way to verify endorsements, this results in the value of a LinkedIn endorsement being zilch.

3. Unusable LinkedIn Stream:

There was a time when one could view the LinkedIn activity stream and garner the major happenings in one’s professional network. Who changed jobs, who got promoted, who started something new. Now, the stream is largely unreadable, with the majority of updates simply stating that X got endorsed by Y for a skill Z.  Which has made the LinkedIn Activity Stream unusable.

1 Billion Endorsements Given on LinkedIn