Where are We Headed with All of This?
Here is a statement that I found on Forbes.com and Jess3.com which I haven’t personally verified but I believe to be reasonably correct, “Every 60 seconds, there are over 13,000 iPhone applications downloaded, around 600 new videos added to YouTube, over 70 domains registered, more than 60 new blogs launched, almost 700,000 searches on Google, and 168 million emails sent.” The amount of data created daily, and added to the world’s virtual repository of data is mind numbing: according to some smart folks at UCSD, in 2008 (ages ago as it relates to data), Americans consumed 3.6 zettabytes of information, or approximately 34 gigabytes per person per day.
With all this data, we are likely to see a new generation of software and software service which using data in a predictive fashion. Using other words, without the aid of software services using this wealth of data, a transaction would have either never taken place or would have not taken place in a quasi-immediate fashion. For example, lets assume there is someone who is about to watch a movie at a large cinema-plex and that person happens to be interested in selling her low mileage, one year old sports coup. That person has listed the car on various online sell sites. Lets also assume that there is another movie-goer who is looking for a car that meets the specification of our fictional seller. This fictional buyer has searched sell websites looking for cars. As these total strangers walk by each other, the mountain of data consumed is of no use to these parties today because they are allowed to pass without causing a virtual discussion regarding the car.
I suspect Google is one of a handful of companies capable of causing sellers and buyers who are locationally close to connect via SMS messaging (via a proxy to avoid party identification) to cause a transaction this this to be completed or entertained. Of course, this type of predictive software service can be useful for job seekers/hiring parties (I’m a painter/I need my house painted), buyers/sellers, tutors/students (I tutor math students/I need a tutor), and social contracts. Can you imagine being at a movie and asking Siri, “anyone here selling a 2010 sports coup?” Better yet, can you imagine receiving a text stating, “someone here has a blue, 2010 sports coup with 10,000 miles for sale…interested?”
The “how” and “difficulty” in all of this isn’t routed completely technology. There are issues involve privacy, data security, intellectual property, data licensing, and state management. These predictive software services are in the cards for our future. Let me know if you know of anyone working on projects like this.