Applications that make systems
interpret and make decisions

We do not see artificial intelligence as a technology that sells itself, but as a tool used in different applications to improve performance and offer alternatives. The concept of artificial intelligence is related to the ability of machines and systems to learn through experience and to be able to perform tasks and make decisions as if they were humans. Machine learning is part of that context, and it refers to methods that train such machines to learn with data.

By means of examples, trends, and standardised feedback, machines and systems will know how to respond when required in a specific situation. To do so, they need a series of data, from different sources and of different kinds, so algorithms can interpret accordingly and find trends and behaviours that can be used in applications and systems in a practical way. In short, they are applications that make systems run, assess, interpret and find issues, opportunities, and solutions.