Starting from pieces of cloth to pieces of metal and then to paper money, throughout time modes of currency have constantly changed throughout the ages. However, as we are leading the way into the future where many say the industrial revolution 4.0 is on its verge, the world may soon have a very different type of currency. This currency will not be a physical object; instead, it will be based on physical objects.
The leading digitalisation of services has made humans dependable on technology. We may observe that the present the living generation need modern gadgets to help them stay updated with global happenings and communicate more efficiently to satisfy their casual needs. On the business side, the diversion of technology is making companies invest more in their IT departments, and gain more security and advance technical advisory to meet future standards.
The introduction of the world to artificial intelligent systems, machine learning algorithms and autonomous gadgets is making humans use their gestures to make real-world things happen. This type of decision making is based on data. A model is generated in order to make a machine understand things, then that model is trained with different patterns to recognise and understand the variations in the patterns. This process makes the machine learn, with this we have seen that data is the most important thing to make the train machines or their models.
Based on these facts, we can observe that the only source of data is humans, as most machine learning algorithms are used to understand human nature i.e. emotion detection. So it clears a win-win situation for both humans and machines as if you want more advanced and intelligent systems, you have to train that specific model with more and more data. This, in turn, results with a more efficient system that will help you live in a better way.
Market leaders and IT specialists are predicting data as fuel for the upcoming age, and according to current analytics, they are absolutely right. Companies are collecting huge amounts of data to sell it to other companies or researchers, or train their own AI agent. For instance, Facebook started the trend of the ‘10 Years Challenge’ to train their AI. Data set size is increasing day by day and as some say, in the future: “Data will be used to fuel machines rather than even electricity”.