Which phase follows the design phase in the AI development life cycle?

The implementation phase follows the design phase in the AI development life cycle. During the design phase, the system's architecture, algorithms, and workflows are established. This phase focuses on how the AI solution will function based on the requirements identified during the earlier stages of development. Once the system is designed, attention shifts to the implementation phase, where developers actually build and deploy the solution based on the design specifications.

In this phase, the code is written, models are trained using the selected data, and the various components of the AI system are integrated. This is a critical step, as it transitions theoretical designs into a functional product. The effectiveness of the implementation directly impacts the system's performance and its ability to meet the intended objectives.

Subsequent stages typically involve validating and testing the newly implemented AI system, leading to monitoring and modification for continuous improvement, but the immediate next step after design is implementation.