Page 29 - Ai V2.0 Flipbook C8
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02                      STAGES OF AI


                                                                     PROJECT CYCLE















                                Learning Outcomes



                   •  Overview of Stages of AI Project Cycle    •  Problem Scoping
                   •  Data Acquisition                          •  Data Exploration
                   •  Modelling                                 •  Evaluation—The Testing Stage
                   •  Deployment




                         Hey AIVA! I was reading  about the stages  of the AI
                         project cycle, and it seems quite interesting.
                                                                              That sounds exciting! What happens after that?



                  Yes,  REVA,  it is! The  AI  project cycle  involves  different
                  stages, and each one plays a crucial role in building  a
                  successful AI model.                                 After modelling, we move on to evaluation, where we test
                                                                       the model's  performance. Finally, the deployment stage
                                                                       puts the model into real-world use.
                         Can you explain the stages to me? I’m a bit confused
                         about how it all comes together.
                                                                              Wow, so there’s a clear step-by-step process.



                  Sure! First, there's the problem scoping stage, where you
                  define the problem you want to solve. After that, you move
                  to data acquisition to gather the relevant data.     Exactly! Each stage builds on the previous one to create an
                                                                       effective AI solution.

                         Okay, and what comes next?

                                                                       Let’s learn more about how the Stages of AI Project Cycle
                                                                       come together in practice.


                  Next,  it's the  data exploration stage.  You  need to  clean
                  and analyse the data to understand its patterns. Then, we
                  proceed to modelling, where we build the AI model.







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