Description: Empirical research refers to a study approach that relies on the observation and measurement of phenomena in the real world, rather than solely depending on theories or abstract reasoning. This type of research is fundamental in the field of automation with artificial intelligence (AI), as it allows for the validation and adjustment of models and algorithms through concrete data and practical experiences. Empirical research is characterized by its systematic methodology, which includes data collection, statistical analysis, and result interpretation. This approach is essential for the development of AI systems that are effective and applicable in various real-world situations, as it provides a solid foundation for informed decision-making. In the context of automation, empirical research helps identify patterns, optimize processes, and improve the accuracy of predictive models, resulting in more efficient solutions tailored to users’ specific needs. In summary, empirical research is a fundamental pillar in the evolution of automation with AI, as it allows for the integration of theory with practice, ensuring that technological innovations are based on concrete and observable evidence.
