Requirements Analysis is one of the first and most important stages in any AI project life-cycle.
In this stage, the project team works closely with stakeholders to clearly define the problem that needs to be solved.
This includes identifying the goals, scope, limitations, and success criteria for the AI project.
Key tasks in this phase are gathering detailed business requirements, understanding data availability, and setting performance expectations.
Proper requirements analysis helps avoid misunderstandings and sets a strong foundation for the project.
It also ensures that the final AI solution aligns with the actual needs of the business or user.
Missing or unclear requirements can lead to wasted time, resources, and a failed project.
So, this stage acts like a blueprint for the entire AI project life-cycle.