What aspect is not part of the implementation phase of AI hypothesis development?

Creating a marketing strategy is not part of the implementation phase of AI hypothesis development. The focus during the implementation phase is primarily on operational aspects that directly contribute to the development and validation of an AI model. This includes tasks such as continuous monitoring and adjustment to ensure the model performs effectively, data acquisition to gather the necessary information for the model, and pilot project implementation to test the AI hypothesis in a controlled environment.

In contrast, while marketing strategies are important for promoting the AI solution once developed, they fall outside the technical and operational scope of the implementation phase. Marketing involves understanding the target audience, positioning the solution in the market, and communicating its value, which occurs after the effective functioning of the AI system has been established through implementation and testing.