AI: From the Turing Question to MLOps and the AI Act - The Complete Evolution

This article traces the fascinating journey of artificial intelligence, beginning with Alan Turing's fundamental question about the ability of machines to think and the concept of the Turing test. It moves through historical landmarks, such as Norbert Wiener's cybernetics, to contemporary definitions and fundamental models. It provides a detailed discussion of machine learning methodologies—supervised, unsupervised, and reinforcement—and deep learning architectures, including convolutional, recurrent, and transformer networks. A key element is also an analysis of ethical challenges, such as AI's interpretability, the difference between correlation and causality, and the impact of the European AI Act. It is complemented by practical insights into MLOps, data engineering, and model operationalization, emphasizing the importance of monitoring and responsible implementation of AI systems.