Intelligent production is a research field and methodological approach focused on integrating advanced computational intelligence, data analytics, and automation technologies into manufacturing and production systems, aiming to create highly autonomous, adaptive, and optimized environments. It investigates the application of artificial intelligence, machine learning, big data, cyber-physical systems, and advanced robotics to enhance efficiency, flexibility, and resilience across the production lifecycle, from planning and execution to maintenance. Key characteristics include real-time data processing, predictive capabilities, autonomous decision-making, self-optimization of processes, and seamless integration of physical and digital domains. Its significance lies in enabling dynamic responsiveness to market demands, improving resource utilization, reducing waste, enhancing product quality, and fostering the development of more sustainable and competitive industrial operations.