12 stages of successful AI projects

Successful Artificial Intelligence (AI) initiatives require both structure and agility. Structure is critical to ensure that all aspects of an AI project are covered. Agility is crucial to learn and improve throughout the project. This requirement results into 12 iterative stages to ensure that AI projects contribute to the organisational strategy and deliver sustainable value.* The governance defines the boundaries of the project with respect to resources (both human and technical), scope, costs and time lines.