Google Assistant It is how we know it best, but actually in Spanish it is called Google Assistant –a much less ‘cool’ name, yes-. And it is, as its name suggests, a virtual assistant from the Mountain View company that is included in smartphones, tablets, Smart TVs and some other home devices. The key, in it, are two technologies: artificial intelligence and machine learning.
Prior to Google Assistant, the Mountain View company already offered users a virtual assistant, and it was called Google Now. The key difference, between one and the one that came after, is that the new Google Assistant is capable of carrying out two-way conversations. Initially, Google introduced its assistant in 2016 and partially, with Google Home –your smart speaker-, and the Google Pixel and Pixel XL, only as part of the Google Allo instant messaging app. It was not until February 2017 when it began to be implemented in mobiles from other manufacturers, even iPhones.
How Google Assistant works and what are its main advantages
Like the rest of virtual assistants, Google Assistant is controlled by voice, although it also supports text input. Its capabilities are many and, precisely because of the ‘machine learning’ that we talked about before, they are constantly expanding. However, it starts on the basis of Internet searches and the configuration of the device, with functions such as calendar programming, among many others. Internet search, obviously, is the one that gives the most functions to Google Assistant.
Machine learning and Artificial Intelligence
‘Machine learning’, translated into Spanish, is machine learning. It is a technology that, effectively, allows computer systems to learn of the interaction with the user. But to understand it, it improves, you have to know which part about the artificial intelligence, which is the programming of a computer system to simulate human intelligence processes; above all, the reasoning.
Google Assistant, due to his artificial intelligence, he can use rules that allow him to reach approximate or definitive conclusions. And with him machine learning, he acquires information and new rules for this very thing. It means, all this, that today you ask him for ‘time’ to Google Assistant, and tomorrow –in a non-strict sense- It will know what time of day you are interested in knowing what the weather is going to be like tomorrow. And so, little by little it adapts to you and becomes more useful.