The terms artificial intelligence and automation are often used interchangeably, but they are not the same. There is a difference between Automated Systems and AI Systems.
In general, both allow performing automatic tasks traditionally performed by a human. But, the main difference between artificial intelligence and automation is that:
• Automation uses software that follows preprogrammed rules and steps.
• While artificial intelligence is able to perform tasks more “smart” and make decisions. It also performs actions for which it has not been specifically programmed previously.
However, for an unlimited set of images or text strings it would be impossible to program them all and as soon as an image or text was presented that was not included in the initial set included in its programming, the automated system would not know how to proceed.
Artificial intelligence software, on the other hand, is able to extract patterns in the images and texts provided initially to offer a possible answer.
The difference between Automated Systems and AI Systems
In short, an automated system does exactly what it has been programmed for before and nothing more.
In this sense, automation is ideal for repetitive and monotonous tasks in which both the information to be processed by the system and the different steps of the task to be performed are perfectly predictable and limited.
An automated system can perform millions of times the same operation or movement. Moreover, it does not get tired and can do it more accurately and faster than a human operator.
Simply specify what we want you to do exactly and the system will do it automatically.
Automation becomes, therefore, a fully obedient worker, who never gets tired, ill or takes a day off and who does his job perfectly, always with the same speed and precision.
The AI Systems
An artificial intelligence system, on the other hand, is not told exactly what to do next. Instead, it is provided with the necessary tools from an initial “training”. So, it can take for itself the best decision in each moment depending on the situation in which it is.
Unlike automation, artificial intelligence can identify patterns and opt for the one that considers the best answer. It can find the solution based on the data available to them, without having been specifically programmed for it previously.
An example of using artificial intelligence that is already used by virtually all financial institutions would be, for example, a system for detecting fraud in credit card transactions.
To do this, it would suffice to provide the artificial intelligence system with a comprehensive set of data with information about previous transactions made with credit cards.