Machine Learning: A Key Trend You Should Pay Attention to

Technology has played a main role in the communication of human beings along history. Artificial intelligence, in particular, machine learning, is one of the current trends that has been gaining most ground in the communications world, mainly due to the efficiency it promises, as well as the cost savings that this implies. Until now, machine learning is a process that is restricted to smartphones, but, due to the excellent results it has brought in the operation of these devices, the trend in the future will certainly be the extensive use of machine learning to virtually any object connected to the Internet.


For a long time, computers only performed the functions for which they were programmed. The active role has always been the user: the computer only does what is ordered. With automatic learning, the exact opposite is sought. Now computers can play an active role, and thanks to their superior capabilities over the human brain, they can make much better decisions than we do.

It must be said that many people fear this. Due, above all, to sci-fi movies and the comments of celebrities such as Stephen Hawking and Elon Musk, many people believe that what will happen in the future is that smart computers, those that can make decisions for themselves, and, in particular, those capable of self-replication, will produce a massive marginalization in the human workforce. The fear of intelligent machines goes from those who believe that companies will hire fewer human beings and will pay more and more for automatic labor, more than anything, to save costs. Not to mention those who believe that the machines will be responsible for the destruction of the world as we know it.

Another source of the great criticisms of machine learning is related to ethical issues, as the smart systems work mainly in accordance with the databases that the user selects depending on their personal preferences, which may not be politically correct. For instance, a system for hiring personnel in a large company can learn not to hire women because the boss is sexist and his choices follow a pattern, determined by sexist motives. Thus the derived decisions of the machine will not only be sexist, but automatic, and they lack any kind of legal responsibility and would be protected against any type of legal action.

The truth is that machines need us as much as we need them. Smart machines would know that they depend on us; and in this interdependence relationship, we, human beings, are perhaps the most benefited. The massive use of machines that automatically learn to make better decisions will be the cause of a huge technological, economic, and, therefore, social development, much more advanced than what we have now (or what we could do in our natural means.) Because telecommunications is a crucial aspect in all these facets of development, it is not difficult to believe that the implementation of machine learning in the devices that allow us to communicate will subsequently allow a much more sophisticated hyperconnectivity. This only means one thing: a world that moves faster, a more efficient one.


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One of the great advantages of this technological trend is that software developers are no longer forced to introduce new and new updates, but the very machines, depending on the needs of the user. Machine learning has a close relationship with customization. Each user is different, has different needs, therefore, it is impractical for all users to use standard devices. Machine learning is a way to correct that industry error.

Companies of all kinds of industries cannot be left behind. Machine learning is one of the keys to the future of technology in the world. This trend is perhaps the only way to take advantage of other trends, such as Big Data and the cloud, whose potential does exceeds our human capabilities.




The way in which machine learning operates regarding telecommunications consists, essentially, in the implementation of more and better algorithms that allow a more fluid hyperconnectivity. This higher information flow allows efficiency in those situations in which many variables must be considered at the same time. Tasks as complex as driving a car, moving containers from a ship to a truck, or carrying out a surgical operation can benefit a lot from this technological development. However, telecommunications may be one of the most benefited areas; much more than what we got so far. Thanks to machine learning, a computer can tell us who to call, who to notify, or to whom to send messages in certain situations. Someone would not have to call 911, especially the most affected by any tragic situation, and instead, your own smartphone could do it for you. And this is just one of thousand examples. Communications can be significantly improved thanks to natural language processing, natural language comprehension, facial recognition, recognition of syntactic patterns, and many more applications. It would save a lot of time to users who need to communicate with one or more people, practically, in a simultaneous way, and whose work depends on good communications.