This discipline explores intelligent computational models and learning algorithms that enable systems to make predictions, automate decisions, and solve complex real-world IT challenges. It examines supervised, unsupervised, and reinforcement learning methods that enhance digital transformation across industries. Research includes deep learning, optimization, neural architectures, and AI-driven automation. It also investigates ethical AI, model interpretability, and responsible intelligence. The field supports innovation in software engineering, business analytics, and human–computer interaction.