Ensuring high process performance and product quality requires more than just historical data analysis—it demands real-time insights. Process analytics, predictive quality, and Digital Twin technology enable manufacturers to proactively monitor, test, and optimize production processes. This session explores how real-time testing can drive efficiency, reduce defects, and enhance decision-making through AI-driven predictions.

• Why is real-time process analytics essential for predictive quality?
• What role does the Digital Twin play in optimizing process performance?
• How can AI-driven predictions improve manufacturing outcomes?