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 What is Artificial Intelligence (AI)?

Artificial Intelligence (AI)

Artificial Intelligence (AI) is a collection of diverse knowledge combined so that machines can perceive, understand, act and learn with levels of intelligence similar to that of a person. Perhaps that is why everyone has their definition of artificial intelligence: it is not a single thing.

Artificial Intelligence now encompasses a wide variety of subfields, ranging from general-purpose areas such as learning and perception to more specific ones such as the game of chess, the proving of mathematical theorems, the writing of poetry, and the writing of poetry. Diagnosis of diseases. Artificial Intelligence synthesizes and automates initially intellectual tasks and is potentially relevant to any field of human intellectual activity. In this sense, it is a genuinely universal field.

Why is AI important?

Some intelligent technologies have been around for over 50 years. Still, advances in computing power, the availability of vast amounts of data, and new algorithms have enabled AI breakthroughs in recent years. Artificial intelligence has a central role in the digital transformation of society and has become an EU priority. Its future applications are expecte to bring about significant changes, but AI is already present in our lives.

Artificial Intelligence case studies

AI applies to financial services, fraud detection, retail purchase predictions, and online customer support interactions in our everyday lives. These are some examples:

Fraud detection. The financial services sector uses artificial intelligence in two different ways. The initial classification of credit applications uses AI to determine solvency. More advanced AI engines are needed to monitor and sense fraudulent card transactions when making real-time payments.

Virtual Customer Support (VCA). Call centres use VCA to predict and respond to customer inquiries without human interaction. Voice recognition and simulated human dialogue are the first interaction points in a customer service inquiry. In the most challenging requests, they redirect to a person with whom you can relate straight.

When a person pledges a dialogue on a web page using a chat (chatbot), the contact is complete with a computer running a specialized AI system. If a point reaches where the chatbot cannot interpret or address the question, a person steps in and communicates directly with the chatbot. These non-interpretive examples feed a machine learning computing system that enhances the application of AI in future interactions.


Ways to train Artificial Intelligence (AI)

The learning of artificial intelligence happens similarly to that of a human being. Therefore, in addition to learning through controls, she also knows through information and data from those training her. And also over communication with users.

How it is skilled depends on how the procedure is built and can be of three types. Check it out below.

Supervised: In this case, the person you train tells the AI ​​what answer you want it to give. For example, she shows him a cat picture and, through some code, gives him the following message: “I want you to say that this is a cat.”

He then shows a dog picture and says, “I want you to say this is a dog.” She does this with multiple and multiple images, and by displaying a picture of a cat that is of no use in training, the AI ​​will be able to tell that he is a cat.

Semi-supervised: in this mode, the person you train, for example, takes some samples and tells the AI ​​that they are cats, takes others and informs it that they are dogs, and takes others and says nothing. And the AI, from the samples of dogs and cats, makes the classification those that have not identify.

Unsupervised: In this case, the person says no answer and leaves the AI ​​to answer for himself. For example, the person shows various cat and dog images mixed, and the AI ​​ will identify patterns and create ways to differentiate one thing from another – without anyone having to tell which cats and which are dogs.


As you have seen, the subject is complex, and there is a lot to go through to understand what artificial intelligence is and everything surrounding it. After all, this technology is constantly developing.

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