Productivity trends

You will be the person what you click

You are being categorised every time you read any news or watch any video. Spent 1 minute extra in one of those faking articles website, you are being categorised as a person who likes articles from that more and will see those ads only on facebook or in your Google News suggestions against other productive ones you could have seen. Spent watching 2 episodes of a Crime coverage, youtube will categorise you as one who likes crime serials and will start experimenting by showing you more of such content in finding how much you are interested.

It’s very easy to be part of what I call “machine fed habits” where machines will feed you to an infinite loop of suggesting articles around an article you read. The worst thing is the average majority of people read articles that are most likely not going to be productive, helpful in your field or learning based but more around entertainment or gossips. You will be fed to a majority liked articles loop. It might already be happening to you and you might not have noticed.


Be very conscious of next article you are going to open or next video you are going to watch since there is a high probability you are going to consume similar content a lot in your coming days or years since software categorises you as a person who likes that content and starts experimenting with you showing similar content.

You know the outcome.. it will make you that person.

entrepreneurship motivation trends

Plan for big data and real time contextual analysis (and drop conventional google search optimizations )

[Update: check Steve Job’s video at the end of this article]

To most of the discussions happening at the time, big data is another fad. Serious players know that world is now changing, and will be driven completely by data in near future. With consumers (and organizations) going from Mobile Present to Mobile First to Mobile Only, Google Search will not really be the biggest thing happened ever over internet as it is today and the context driven actions done inside the apps will be the future. Human interaction ( Going to Google and searching for How to tame a dragon ) will not be required and behavior will change.

42% of organizations have more than 50TB of data with 6% of them having > 10PB (credits: IOUG Big Data Strategy Survey 2012). This is the data of whats happening with physical and online entities as well as human behavior. This is the data which will tell how much time you spent over apps / websites doing what, how many products were sold in your shop at what time and what else was happening in the world which triggered the sale, how much time you spent doing sex and how vigorous was it (check this ), is human race getting dumber or smarter and with what pace, how many cars crossed a particular spot on road in last n years etc.. Data will be infinite out there. 32% of companies use this data by pre-processing it and then loading data warehouse for integrated analysis and 14% conduct big data analysis separately from traditional enterprise analysis (credits: IOUG Big Data Strategy Survey 2012).  The current setup, thus is exactly like what retail commerce was in 1990s. And world is changing so fast that analysis done by Big Data as a separate process might be stale to use it for next day.