Data Discipline: The Foundation of AI-Driven Supply Chain Optimization
MIT's Elenna Dugundji highlights that data quality and governance are the primary drivers of successful AI implementation in supply chains. Without rigorous data discipline, advanced algorithms fail to deliver meaningful optimization, reinforcing the 'Garbage In, AI Out' paradigm.