Artificial intelligence

Artificial intelligence technology has been around since the 1960s and continues to evolve, from science fiction to an increasingly close reality.
Several large companies are benefiting from it like Google, Microsoft and Amazon.

What is artificial intelligence ?
Artificial intelligence is the act of reproducing on machines or software intelligence and human reflection. A system with artificial intelligence must be able to perceive, learn, memorize, predict, reason and plan independently.

We can find AI in different areas. Several researches are invested in this technology and soon, it will change the way of work. The machines will handle the most difficult problems in seconds.

There are two types of artificial intelligence, weak and strong artificial intelligence.
Strong artificial intelligence, also called ascending, is the closest approach to human behavior. The automaton would then be endowed with a real consciousness of itself and able to feel feelings, so he can think and his reasoning would be similar to that of a human being.
The weak artificial intelligence, also called descending, aims mainly to reproduce as much as possible the result of a specific behavior observed in advance using a computer program, that is to say that the machine simulates intelligence, it seems to act as if it was intelligent.

Artificial intelligence applied to ERP
First of all, companies using enterprise resource planning (ERP) systems are able to manage a company's business globally with modules linked to a single database.

Indeed, the use of artificial intelligence in companies by granting it with ERP, can accelerate growth and provide significant potential. Machine learning is a technique of artificial intelligence, allows computer systems to learn without having to be programmed.
This technology gives the possibility to the ERPs to increase their capacities of automation since they have a large database containing all the activities carried out and consequently a good traceability. This makes it possible to better exploit the mass of historical data to obtain good results and prevent any risk of error. Although, of course, the AI can anticipate by predicting the chronological and repetitive phenomena, let us take the example that it will be possible to prevent stocks, sales and purchases values in advance.

Finally, the integration of artificial intelligence into ERPs through Machine Learning is an important innovation that has simplified processes, automated manual and repetitive tasks, shortened lead times and reduced the risk of error. Companies must evolve with each research done in this area to always benefit.