Artificial Intelligence

Artificial Intelligence or AI aims to design hardware and software systems for machines that are capable of reproducing activities that are normally done by the intelligence of humans. 

The term was coined by the American computer scientist John McCarthy in 1955 during a seminar at Dartmouth College in Hanover. At that time, the first Neural Networks and Fuzzy Logic were also developed and these became the basis for Artificial Intelligence.

Since then, AI has been applied significantly both at the corporate and domestic level. 

Let’s explore in more detail some of the main categories that make up Artificial Intelligence.

Chatbots & Voicebots

The category of chatbots is composed of software that is capable of performing actions and offering services that are based on voice commands from the person. These AI systems are characterized by their ability to understand the dialogue and memorize the information collected. Voicebots or Vocal Assistants (VAs) in particular, respond to voice commands and among the most famous are Siri, Cortana, Google Assistant and Alexa.

Computer vision

These are image analysis solutions, single or in sequence (video), oriented towards the recognition of elements present within the images. Examples are face recognition technology for unlocking mobile phones (biometric recognition) or the suggestion for grouping faces in the camera rolls of our devices.

Recommendation System

These are AI systems that guide users’ choices based on previous information collected (either directly or indirectly). Among the most widespread are those that suggest a purchase based on previous purchases.  This helps direct and facilitate the behaviors and choices of the users. 

Natural Language Processing or NLP

These are solutions that elaborate on language and that have different purposes. This category includes Chat GPT and Einstein GPT.

Intelligent Data Processing or IDP

This is based on algorithms that analyze specific data – structured and unstructured – to extrapolate information present in the data itself. The main purpose of IDP is to help companies do Forecasting and Classification & Clustering.

We can also speak of Artificial Intelligence in physical elements and solutions, in this case we are talking about Robotics and Internet Of Things. We identify for example: Autonomous Vehicles, Autonomous Robots and Intelligent Objects capable of performing actions without human intervention and making decisions based on the conditions of the surrounding environment. All the appliances that connect in our homes belong to this last category.