Machines and data have been learning from quite a moment in time now. There is no domain left which does not use the stored data for analytic. Machines are getting better not only in terms of performance but also in terms of quality results because of the fact that they can learn. Learning is not an overnight process. It takes a sufficient and appreciable amount of time and effort to get trained, observe the patterns, record them and learn through them. Managing and measuring data have been two related mergers with data.
This definition of Data Science by Jennifer Widom is aptly put. She says big data is about two things: First is collecting large data and second is doing something with it. The process of going from first to second is the Data Science. This definition puts many of the current hot research areas together into a single basket.
Imagine a near future day where each and every activity of a person is tracked and monitored (or is it already?). Now, that is not an impossible task. A cell phone moving along in ones pocket can very well do it. Imagine what this data can do and what range of activities it can predict. Like you walk into a store and you get an alert of where to find your next purchase! Similarly, one can be alerted on where to find favorite food, where to catch the vehicle to commute and many such, all based on collected historical data.
The big data has impacted with larger benefits to domains like:
- Urban Planning
- Elections and
- Consumer Products to name a few.
What excites me the most is the e-commerce, online shopping and customer behavior data. In current scenario where people are opting to go for online money, there are many inventions unknowingly lined up. How do you see the online shopping domain progress down the line like in next 2-3 years? How customized should be your shopping experience?
With design and implementation in progress for my research related to the area, I would love to hear from you if you have something exciting or anything that you have come across which has given you a shareable experience (relating to online shopping and e-commerce). It could be a question, suggestion or a feedback. Let me know through comments or drop me a mail at email@example.com