#BuyAndTellPrice- Say No to Individual Price Discrimination

Ever wondered after snagging that deal on Amazon (45 % off!), whether it was the best possible deal? Did someone get better deal yesterday or last week? Worse still, is someone getting a better deal right now? It is now more possible than ever before for Amazon to price a product differently to different people (based on their assessed ability to pay or desperation/need for the product) at the same time, and no one is the wiser!  So let us start a movement #BuyAndTellPrice. Each time we purchase a product- not just rate the product but also write the price of at which we bought it.

Is the Internet Shrinking?

The last decade has seen a transformation in the way knowledge is produced and consumed. But who controls the knowledge? From 23,500 websites in the early days of internet (1995), it has grown to over 1.3 billion websites today. We thought the internet will allow free expressions, there will be millions (actually billions :)) of web sites and everyone can have a place under the sun and self-publish, get their words across. We thought it was the end of the gatekeepers. But we see
that the internet is actually shrinking! And why? If everyone speaks at the same time, can anyone be heard? ? Read more…

Should Google be Regulated?

The “do no evil” company changed the slogan “to do the right thing” in October 2015. And they are doing the right thing- if you are a Google Shareholder- you are definitely happy 🙂 . Google dominates the search engine market globally. Recently, Google has been fined a record 2.4 Billion Euros by EU, for what they call, “abusing internet search monopoly”. This blog presents my view on- Did EU get it right? Can Google be called a natural monopoly? What will it take for a competitor like Bing to reach where Google is? Can Google search easily be construed as a public utility and is it time for it to be regulated? So, should you sell your Google stock now? Read more to find out…

Thinking and Deciding Algorithmically: Solutions to Everyday Problems

We come across problems every day that forces us to make difficult choices. Our inherent biases hardwired in our brains, makes our decisions less than optimal. What if we find solutions to everyday problems from algorithms/computer science? Thinking algorithmically about the world, understanding the fundamental structures of the problems we face can help us see how good we actually are, and better understand the errors that we make.
Optimal stopping tells us when to look and when to leap. The Explore-Exploit trade-off tells us how to find the balance between trying new things and enjoying our favourites. The Sort-Search trade-off tells us when our effort in arranging stuff makes sense.
It is important that we use and understand these and similar algorithms so that we are better prepared for the age of the machines.