Why are AI projects failing so often? According to Aurelio D’Inverno, who is leading the AI and analytics practice for Cognizant Europe, it has to do with traditional development approaches where the IT and the business side don’t always correspond. The POD approach, with its multi-disciplinary teams, short sprints, and constant measuring, offers a more agil methodology. Learn more in this video.
If you'd like to learn more, check out the key insights from the joint Microsoft/Cognizant seminar Data and AI-Driven Supply Chain in Manufacturing.