Artificial Intelligence (AI) takes human intelligence and bio-inspired systems
as a reference and has application to numerous fields of society and science.

The applicability and great transformation potential of AI rely on its deploy-
ment in manufacturing environments, with Industry 4.0 as an exponent, its

application in the fields of biomedicine and reliable economic transactions,
through blockchain approaches, or the identification of social profiles, among
others very diverse examples. All this makes Artificial Intelligence a great
success story told in the first decades of the current 21st century.
Indeed, although Artificial Intelligence, as a field of work, dates from the
second half of the last century, its impulse has occurred in the first decades of
the 21st century. The reason is mainly based on:
• The huge availability of unstructured data that needs to be analyzed
(Big Data)

• Today’s high-capacity and low-cost computing systems with com-
puting capabilities that are already measured in petaflops

• The development and progress of complex Artificial Intelligence

structures, associated, for instance, with deep learning, hybridiza-
tion of fuzzy networks, or the development of Machine Learning

There is no doubt that one of the main challenges that today’s society faces is
to ensure the incorporation of AI technology throughout its economy.