What is Artificial Intelligence?
Simplistically, we could define artificial intelligence as the ability of a technological system to solve problems or perform tasks and activities typical of human mind and skill. Looking at the IT sector, we could identify AI – Artificial Intelligence as the discipline that deals with creating machines (hardware and software) able to “act” autonomously (solve problems, perform actions, etc.).What characterizes Artificial Intelligence from a technological and methodological point of view is the learning method / model with which intelligence becomes skilled in a task or action. These learning models are what distinguish Machine Learning and Deep Learning.
How Artificial Intelligence works
The functioning of AI basically consists of four different functional levels:
Comprehension : through the simulation of cognitive abilities of correlation data and events AI (Artificial Intelligence) is able to recognize texts, images, tables, video, voice and extrapolate information, or thanks to suitable middleware, like that of OSSI, to be this information already structured.
Reasoning : by means of logic, the systems are able to connect the multiple information collected (through precise mathematical algorithms and in an automated way), or always thanks to the specific middleware, to find the data already correlated;
Learning : in this case we are talking about systems with specific functions for the analysis of data inputs and for their “correct” output returns (it is the classic example of Machine Learning systems that use AI to learn and to perform various functions);
Interaction (Human Machine Interaction) : in this case we refer to the way the AI works in relation to its interaction with man. This is where NLP – Natural Language Processing systems are strongly advancing, technologies that allow humans to interact with machines (and vice versa) using natural language.
Again the middleware that facilitates the interaction between the AI and its user, but enriches the data with the metadata for the phase of understanding and reasoning, in fact solves 3 of the 4 parts of any implementation of artificial intelligence, leaving the focus, learning (machine learning) to specialists and experts in the field of implementation.