Increasing demands on quality and stability in die casting require adaptive, data-driven process control. AI-based approaches link production and quality data, detect critical patterns at an early stage, and derive control adjustments. This reduces casting defects, stabilizes process windows, and improves ramp-up efficiency—particularly in giga casting applications.