At this time of the year many adventurous people – consultants, analysts, experts, gurus, companies, …- try to guess the trends of the year that begins in a few days. Some websites, we will do it as well.
The Internet of Things is a current reality with infinite possibilities that will continue to develop and, therefore, will intensify over the next few years. This technology is nothing more than the integration of sensors and devices in objects of people’s daily lives, whether in work or personal environments – as well as in professional sectors such as health, security, transport or Smart Cities, among others – in such a way that they are connected to the Internet and become a source of data to adapt to the habits of users.
This is a very useful tool for gathering information on the environment, improving energy efficiency, achieving more sustainable cities, or developing new solutions for the end user, among other options. But we must not forget the changes in the way of producing that this technology causes, or the challenges it must face for the coming years, such as standardization or security of IoT devices.
Artificial intelligence is one of the most used and applied technologies nowadays, as when Google suggests a word to complete your search, but that would not be possible without this set of tools.
Artificial intelligence is the ability of a set of technologies to simulate the cognitive processes associated with human intelligence, in order to create algorithms or intelligent devices that react like people. The reality is that this technology is already applied to end user products, such as the smartphone camera, but it will continue to be developed to be perfected and applied in many other areas and devices.
And it is precisely at this point, that of learning, where machine learning comes into play, which is part of AI, but from the perspective of learning to promote the autonomy of machines. That is to say, it shares with this technology the reception of data and execution of algorithms, but with the purpose of adjusting them as they process the information and know the environment, in order to learn autonomously.
Another of the rising technologies, already today, but with a long way to go is probably biometrics, such as the fingerprint reader, an identification mode present in everyday devices, such as mobile phones or access control systems for companies, among other options. These biometric sensors are basically mechanical or electronic systems that record the biometric data of users of intelligent devices and serve as a method of identifying the people.
It is a technology in constant evolution that foresees to extend both its uses and the devices to which it can be incorporated, offering comfort to the consumer. Facial recognition can currently be considered the most secure system of identification, in addition to being one of the most popular. However, there is a challenge that all of them face in the near future, which is both one of its strengths, and is the security and privacy it offers the user. Cybersecurity has as many challenges as opportunities open up with each step towards technological evolution.
Intelligent assistants and voice search will also continue to expand in 2020. Who hasn’t done a voice search today through one of their technological devices? Making phone calls, asking for the song we want to hear or finding the restaurant or store we want to go to, are some of the answers we look for in a voice assistant. This is a relatively recent technology that has gone from being adopted by the end user to being one of the trends of the moment in just a few years.