Which element is NOT a part of the AI development life cycle?

The AI development life cycle typically encompasses various stages that focus on the creation and refinement of AI systems. Planning, implementation, and design are all essential components of this cycle.

Planning involves identifying objectives, resources, risks, and the overall approach the AI project will take, setting a foundational strategy. Implementation is the actual building and deployment of the AI system, where code is written, algorithms are executed, and models are trained. Design refers to the architecture of the system, including the choice of algorithms, data structures, and workflows that will guide how the AI functions.

Marketing, however, is not considered a part of the AI development life cycle itself. While marketing may play a significant role in promoting and selling the resulting AI products or services to clients or the public, it does not contribute directly to the conceptualization, creation, or refinement of the AI system. Therefore, it stands apart from the core stages of development that focus on technical and project management aspects. Understanding this distinction helps clarify where marketing fits into the broader context of AI initiatives, as a post-development activity rather than a phase in development.