Artificial intelligence in information and communication

Artificial intelligence enters thanks to information and communication technologies

It has been 64 years since the American mathematician, John McCarthy (1927-2011), created the concept of artificial intelligence and defined it as “the science and engineering of creating intelligent machines, especially computer programs smart. It is related to the similar task of using computers to understand human intelligence, but AI is not limited to methods that are biologically observable.”

If in 1956, the year in which the term was coined during a conference at Dartmouth University (Hanover, New Hampshire), artificial intelligence looked like a technological utopia, there is still a limited vision of it, formed from the cinema of Science fiction.

However, the reality is that AI solutions have been making life easier for humans for decades, and have gone unnoticed most of the time.

These are some examples of the daily use that has been given to artificial intelligence:

  • Virtual voice assistants: Under the name of commercial brands such as Alexa, Siri, Cortana, among others, voice assistants have become another companion in millions of homes around the world .

A 2019 Nielsen study found that 24% of Americans have smart speakers in their homes. As an article on the bbvaopenmind.com site explains, these devices use natural language processing (NLP) to interpret and respond to spoken commands.

Also, most use Machine Learning technology to be smarter and better understand what is being told to them.

  • Social networks: The contents in which the user browses daily are made to measure. Why? Artificial intelligence is in charge of selecting them according to tastes and the frequency with which they access certain photos, videos or games. Likewise, thanks to AI, social networks can make more accurate recommendations in terms of friendships and advertisements. This in order to create a more satisfying experience and, of course, ‘force’ you to come back as soon as possible.
  • Streaming services: Right now, it’s hard to imagine existence without platforms like Netflix or Spotify. Its success lies in its ability to personalize based on learning about user tastes and preferences. In this way, the recommendations are increasingly assertive.
  • Email: Gmail and other email services also use Machine Learning technology to distinguish important messages from those considered spam or spam. In addition to this service, Gmail has also incorporated the Smart Reply function, which consists of a more agile composition of messages thanks to the prediction of words and sentences.
  • Although artificial intelligence still has a long way to go, information and communication technologies and their advances have made it possible to make life easier for millions of people in so everyday that, many times, they are underestimated. However, only professionals with the technical knowledge of the subject will really understand the magnitude of its constant evolution and development.

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