Dissertation
⭐ 4.2
MLOps Adoption in Fortune 500 Firms: Data Quality And Bias — A Comparative Perspective
Abstract
This dissertation investigates “MLOps Adoption in Fortune 500 Firms: Data Quality And Bias — A Comparative Perspective” using a panel regression with fixed effects. Through a human-centered lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.