AI Project Cycle

• • The project lifecycle provides a structured approach for the delivery of the project.
  • This allows everyone working on the project to identify how the project is progressing.
  • Following step by step procedure is far better.
  • Even risk of failure of the project is low .
  • life cycle model helps to define the work required and helps to calculate time and risk involvement for the project.
• • Problem Scoping is the first stage of the AI project cycle. In this stage of AI development, problems will be identified. It is then followed by designing, developing, or building, and finally testing the project.
• In problem scoping, we need to understand what are the issues that needs to be solved using AI technology.
• In AI project cycle everything will be failed if problem scoping is failed or without appropriate problem scoping. Incorrect problem scoping also leads to failure of the project as well.
• The 4Ws Problem canvas helps you in identifying the key elements related to the problem.
• Who?The “Who” block helps you in analysing the people getting affected directly or indirectly due to it. Under this, you find out who the ‘Stakeholders’ to this problem are and what you know about them.
• What?

  Under the “What” block, you need to look into what you have on hand. At this stage, you need to determine the nature of the problem. What is the problem and how do you know that it is a problem? Under this block, you also gather evidence to prove that the problem you have selected actually exists. Newspaper articles, Media, announcements, etc are some examples.
• Where?

  Now that you know who is associated with the problem and what the

  problem actually is; you need to focus on the context/situation/location of

  the problem. This block will help you look into the situation in which the

  problem arises, the context of it, and the locations where it is prominent.

  • What is the context/ situation the stakeholders experience the problem?
  • Where is the problem located?