Life Cycle Management

In this chapter, we specify the business requirements and propose the solution concept for life cycle management. In the context of artificial intelligence, new artifacts and processes are introduced that must be considered from the life cycle management perspective. For example, artificial intelligence models must be trained, deployed, activated, and monitored. Those aspects are not covered by classic life cycle management tools and concepts. ERP systems have a very complex life cycle as they are long-lasting, rich in functionality, and available in different deployments (e.g., on-premise and in the cloud). Artificial intelligence artifacts must be seamlessly integrated in the overall ERP life cycle management.