Making AI Sense-Like

The book presents dynamics and explanatory circles on how AI systems are designed to simulate human cognitive functions, such as reasoning, problem-solving, perception, and language understanding, to varying degrees. They use algorithms and large datasets to process information and make predictions or decisions. We will be seeing that, they can perform tasks that typically require human intelligence. These tasks include things like learning from experience, understanding natural language, recognizing patterns, solving complex problems, and making decisions.
In a second idea, we will look at the perspective on AI systems in the financial environment, with practical references and the approach of a business evolutionary horizon that favours the use of the tools that AI offers as a collaboration to elaborate and complement much more all the processes, adapting to the constantly changing and aggressive environment that requires diversified and powerful software and hardware tools.

Jorge Argibay holds a Master's degree in Comparative Literature from Autonoma University of Madrid, where he won the research award. This degree was combining with stays at the French University Paris-Diderot (Paris 7). He is a breath of contrasting knowledge in the field of interpretation, literary studies and the academic environment, with a touch of gentle lethargy.
He has extensive international experience and has immersed himself in the geography of countries as diverse as Mexico, Colombia, France, United Kingdom, China and the Philippines, in a constant quest to study other languages and cultural interactions. He has worked as an interpreter, teacher and researcher. He has applied his knowledge in the business world, by supporting multilingual teams in their task of recruiting new talent. His mind has been able to adapt to his obsession for travel itineraries, combining his admiration for other cultures, mixing it all in the same cocktail of his own destiny.