Material data plays a crucial role in R&D and quality management, yet many companies struggle to use it effectively. Complex structures, isolated data sources, and manual processes make it difficult to generate meaningful insights. As a result, innovation cycles slow down, and quality optimization remains reactive rather than proactive. This talk explores how Material Intelligence—the combination of AI, machine learning, and data integration—transforms the way industries handle material data. By making data more accessible, connected, and actionable, companies can reduce inefficiencies, improve decision-making, and accelerate development. Using real-world applications, we will discuss how intelligent material data management drives industrial progress and enhances competitiveness