Year: 2026
Type: article
Abstract: Column Editorʼs Note: As organizations move AI and analytical systems from pilots into daily operations, much of the risk shifts from model design to the data those systems depend on every time they run.In this Active Industrial Learning column article, Haluk Demirkan draws on decades of enterprise experience to show what this means for leaders: the questions they should be asking their teams, how to decide when a system should keep running and when it should stop, and why governance works best when it starts small and is built into the delivery from day one.
Source: Harvard Data Science Review
Author: Haluk Demirkan
Institutions: Amazon (United States), University of Washington Tacoma
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7224456225