Summary
This document is a technical report discussing the integration of artificial intelligence (AI) and machine learning (ML) in the development of durable polyester resins for metal packaging coatings by Eastman. The report outlines the challenges faced in the can coatings industry, including the complexity of formulation combinations and application testing methods. It details the concept of a 'compass' to navigate these challenges, emphasizing the importance of identifying core competencies and fostering collaboration among teams. The report presents Eastman's Tetrashield protective resin systems, which utilize a unique monomer to achieve high-performance characteristics. Additionally, it describes the AI infrastructure that predicts structure-process-properties relationships, significantly reducing experimental lab work. The document also highlights the collaboration with external partners to enhance ML models and addresses the challenges in data management that impact AI/ML model development. Overall, it emphasizes the necessity of aligning AI strategies with organizational growth to foster innovation in the metal packaging sector.
