Advances in artificial intelligence and machine learning have created a better working environment for those looking to incorporate Tetrashield into their products. Eastman scientists Cameron Brown and Kuo-Hsiang Raye Chang discussed these advancements in a recent Metal Packager story. The scientists said that given Eastman Tetrashield’s focus on enhancing innovation combined with Eastman’s customer centric approach, higher efficiency in metal packaging can be achieved. Companies can use machine learning, for example, to get faster and more reliable starting point formulation suggestions. Technology can also parse data, predict polyester properties and find more effective solutions in an evolving resin landscape. Using tools in such ways, they said, can free up time while enhancing innovation. Read more about Tetrashield, and read the full story here.
