Posts Tagged #technology
Let’s start from the very beginning. The Internet that we know and love today is an open channel that uses free standards for communication. It is an equal-opportunity channel when it comes to traffic/content creation and delivery. The bottleneck is primarily the bandwidth that each individual user has available.
Now let’s say there are two companies providing media sharing capabilities using the SaaS model. Today traffic to and from Company A (mega establishment) and Company B (fledgling start-up) are treated equally by the broadband service provider. Today it is illegal for the broadband provider to treat the traffic from the two companies differently (assuming similar and legal content from both companies).
Now imagine if the broadband company could tell these companies- hey if you pay me an additional fee- your traffic will get higher priority on my network! It’s easy to see how Company A could easily edge out any competition from a startup like Company B based purely on its financial advantage. Bigger and better funded companies can bury competition by simply buying out the bandwidth from the Internet providers.
This essentially can kill technological innovation.
The Openness of the Internet is not a privilege we enjoy- it is and must be a fundamental right. We have a chance now to go and tell the FCC that we want the Internet to remain a free, fair and equal-opportunity channel. The FCC is taking comments from the public on this proceeding (also referred to as preserving Net Neutrality).
The site will remain open for 120 days (starting May 15 2014).. so the clock is ticking!
File your comment here. Proceeding number is 14-28
Net Neutrality is important- or else all the content, access and service we get over the Internet will be based on the highest bidder for bandwidth usage.
Take action. Do it now! #NetNeutrality
The author prophesies that the importance and definition of a data scientist will change in the next few years- as big data technology is adopted in a more mainstream manner. One of the comments was that data scientist is a misnomer because data science is not really a science. Analysis of data does not make it a science. I cannot agree more. It isn’t data science- it is decision science. Here’s my reply to the comment
“Science has always been about setting a hypothesis and proving it right or wrong. We’re just getting started with BigData. The proper and most beneficial use of big data will be when everyone becomes a decision scientist. The data, the analytics, dashboarding and interfaces will simply be tools that will help a business/ enterprise/ organizational decision maker verify the viability of their hypothesis. That’s the real promise of bigdata. If it isn’t, it should be about being the toolkit for Decision Science.”