MIT Research: Data Discipline is the Foundation for Supply Chain AI
MIT research scientist Elenna Dugundji argues that data quality and governance are the primary drivers of successful AI implementation in supply chains. Without rigorous data discipline and system integration, AI outcomes remain unreliable and fail to drive meaningful optimization.