ABSTRACT
The implications of the decision-making process for analytics and artificial intelligence (AI) require further exploration of the process. The semantic network of concepts should facilitate the comprehension of the process, and, for the purposes of this chapter, helps us identify all pertinent elements that one has to consider for analytics, as will become clear later on. Information is not converted into knowledge in any computational tool. Humans, however, can absorb information and learn from it. This relationship between information and knowledge occurs within the human mind. AI is a field of study dedicated to the advancement of intelligent agents, which are those entities that exhibit rational behavior when making decisions through complex tasks such as planning, classification, recommendation, interpretation, prescription, and so on. Analytics explores several purposes of data motivated by queries in specific contexts. It is important thus to comprehend how queries, their purposes, and technical types can vary and evolve in certain business contexts.
