Page 204 - AI Ver 1.0 Class 9
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SDLC has the following stages:
Requirement
Analysis
System Design
Implementation
Testing
Deployment
Maintenance
As you can see in the above diagram, the first stage is Requirement Analysis. It is the stage where we have
to analyse the required data and information. The next stage is System Design in which we design data flow
diagrams like flowchart from the analysed data to demonstrate the flow of data in the software to be developed.
Next stage is Implementation in which the real programs are written. After developing the programs, we need
to test the written programs to solve the problem for which the programs are written. If the program is tested
successfully then the software is deployed in the client location.
Similar to SDLC, AI project cycle is the process of converting the real-life problem into an AI-based model. The
project cycle framework is designed to help project managers guide their projects successfully from start to end.
The purpose of the project life cycle is to create an easy-to-follow framework to guide projects. The AI project
cycle provides us with an appropriate framework which can lead us towards our goal. The following are the
stages in an AI project cycle:
Problem Data
Scoping Exploration Evaluation
Data
Acquisition Modelling
1. Problem Scoping: The first stage of an AI project cycle is problem scoping to identify the problem and
have a vision to solve it. Problem scoping means selecting a problem and finding a solution for it using AI
technology.
202 Touchpad Artificial Intelligence-IX

