If a poll was to be taken among people who are into making stock investments on a regular basis; I feel a portion of them would admit to consulting brokers and other investment agencies that assist them in making an investment decision. In return, these middlemen get commission from the returns the investor makes. What if, we were to have an application that would obliterate the need of these middlemen and provide a transparent, easy to use application that would do the same (or even a better) job helping people make an investment decision?
Today, technology has advanced to a level that cars can drive themselves to their owners. All these are real world applications of self learning algorithms and predictive data analysis to facilitate decision making. But in order to support such algorithms at scale, it is important to have an equally good hardware underneath. Today, in memory databases are fast changing the way the industry operates and an ability to process data real time is literally an icing on the cake.
Thus, the idea is to imagine an application that is deployed on an in-memory database and supported by self learning algorithms that expand its data processing capability from historical data to online news articles to real time twitter feed and provide the user with recommendations as to whether the chosen company is a good investment decision or not. What do you guys think? Is there a possibility to have such an application at our disposal in the future?
– Thought and compiled by Vaibhav Deorukhkar