Data Science: towards automated decision making

Abstract

Analyzing data today is a highly relevant task, as data is a valuable asset for both researchers and organizations. Advances in information technologies have enabled the generation and recording of vast amounts of data, presenting challenges in analysis and understanding. Data processing is crucial for extracting knowledge and improving decision-making in business and processes. Data Science has emerged as a discipline that transforms data into value, helping to diagnose, predict, and recommend solutions in products, services, and processes. Advances in Artificial Intelligence, along with technological improvements, have facilitated this process, but also raise ethical questions and limits on data usage.