The Hexagon MI white paper explores how Artificial Intelligence is transforming materials testing and product development by overcoming the inefficiencies of traditional, resource-heavy methods. AI enables earlier prediction of material performance, reduces reliance on costly physical tests, and accelerates R\&D cycles. By leveraging large datasets, AI models can simulate conditions, predict properties, and optimize materials for specific applications, driving faster innovation and greater design flexibility. This shift not only shortens time-to-market but also reduces waste, supports sustainability, and enhances competitiveness, positioning AI-driven testing as a strategic advantage for modern manufacturers.

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